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JP2990488B2 - Fingerprint collation device and fingerprint imprint determination method - Google Patents
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JP2990488B2 - Fingerprint collation device and fingerprint imprint determination method - Google Patents

Fingerprint collation device and fingerprint imprint determination method

Info

Publication number
JP2990488B2
JP2990488B2 JP6307227A JP30722794A JP2990488B2 JP 2990488 B2 JP2990488 B2 JP 2990488B2 JP 6307227 A JP6307227 A JP 6307227A JP 30722794 A JP30722794 A JP 30722794A JP 2990488 B2 JP2990488 B2 JP 2990488B2
Authority
JP
Japan
Prior art keywords
fingerprint
deviation
block
pixels
unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
JP6307227A
Other languages
Japanese (ja)
Other versions
JPH08161495A (en
Inventor
雅彦 山口
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujitsu Telecom Networks Ltd
Original Assignee
Fujitsu Telecom Networks Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fujitsu Telecom Networks Ltd filed Critical Fujitsu Telecom Networks Ltd
Priority to JP6307227A priority Critical patent/JP2990488B2/en
Publication of JPH08161495A publication Critical patent/JPH08161495A/en
Application granted granted Critical
Publication of JP2990488B2 publication Critical patent/JP2990488B2/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/12Fingerprints or palmprints
    • G06V40/1365Matching; Classification

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  • Engineering & Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Collating Specific Patterns (AREA)
  • Image Input (AREA)

Description

【発明の詳細な説明】DETAILED DESCRIPTION OF THE INVENTION

【0001】[0001]

【産業上の利用分野】本発明は、指紋照合に於ける誤判
定を防止した指紋照合装置及び指紋押捺判定方法に関す
る。予め指紋を登録し、本人確認を行う時に指紋撮像部
により指紋を撮像して、登録指紋と照合する指紋照合装
置が知られており、その場合の照合すべき指紋を正しく
撮像していているか否かを判定することが必要である。
BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a fingerprint collating apparatus and a fingerprint imprint determining method for preventing erroneous determination in fingerprint collation. A fingerprint matching device is known in which a fingerprint is registered in advance and a fingerprint is imaged by a fingerprint imaging unit when performing identity verification, and a fingerprint matching device that matches the registered fingerprint is known. It is necessary to determine whether

【0002】[0002]

【従来の技術】図5は指紋撮像部の説明図であり、21
はカメラ、22は光源、23はプリズム、24は弾性
膜、25は指紋押捺の為の指を示す。カメラ21は、例
えば、CCDカメラとすることができ、押捺面(弾性膜
24の面)に対して臨界角θ以下の角度に配置され、光
源22からプリズム23を介して押捺面を照明した時、
指25が載置されていない場合は、カメラ21に反射光
が入射されない構成となり、押捺面の弾性膜24上に指
25をのせると、その指25の指紋を形成する隆線,谷
線に対応した反射光がカメラ21に入射され、カメラ2
1から指紋を撮像した信号が出力される。
2. Description of the Related Art FIG.
Denotes a camera, 22 denotes a light source, 23 denotes a prism, 24 denotes an elastic film, and 25 denotes a finger for imprinting a fingerprint. The camera 21 can be, for example, a CCD camera, and is arranged at an angle equal to or smaller than the critical angle θ with respect to the printing surface (the surface of the elastic film 24), and illuminates the printing surface via the prism 23 from the light source 22. ,
When the finger 25 is not placed, the reflected light does not enter the camera 21. When the finger 25 is placed on the elastic film 24 on the impression surface, the ridges and valleys forming the fingerprint of the finger 25 are formed. Is incident on the camera 21 and the camera 2
1 outputs a signal obtained by imaging the fingerprint.

【0003】又弾性膜24は、指25との密着性を向上
して、乾燥した指でも鮮明な指紋を撮像できるようにす
る為のものであり、或る程度の耐磨耗性が必要である。
その為、使用可能で無色透明な材料が存在しない。従っ
て、強い光が外部から押捺面に入射されると、弾性膜2
4自身による散乱光が発生してカメラ21に入射される
ことがある。又弾性膜24に疵がついた場合や塵埃が付
着した場合、光源22からの照明により反射光が生じて
カメラ21に入射される。
[0003] The elastic film 24 is for improving the adhesion to the finger 25 so that a clear fingerprint can be picked up even with a dry finger, and a certain degree of wear resistance is required. is there.
Therefore, there is no usable colorless and transparent material. Therefore, when strong light is incident on the impression surface from outside, the elastic film 2
4 scattered light by itself may be generated and incident on the camera 21. When the elastic film 24 is scratched or dust adheres, the light from the light source 22 generates reflected light and enters the camera 21.

【0004】指紋照合装置としては、指紋押捺面(弾性
膜24上)に指25を載置し、カメラ21により指紋を
撮像して処理することになるが、カメラ21からの画像
信号が指紋撮像によるものであるか否かを判定する必要
がある。その為に、従来例の指紋照合装置に於いては、
例えば、(a)押捺面に指を載置した時に、その指から
の反射光がカメラ21に入射されるから、カメラ21に
よる撮像画面内の指紋照合等に用いる判定エリア内の平
均輝度を求め、この平均輝度が予め設定された閾値を超
えた時に、指25による反射光がカメラ21に入射され
たものと推定して、指紋押捺と判定し、その時の撮像画
像信号を取込み、指紋登録や指紋照合を行う方式が知ら
れている。
In the fingerprint collation device, a finger 25 is placed on a fingerprint imprinting surface (on the elastic film 24), and a fingerprint is imaged by the camera 21 for processing. It is necessary to determine whether or not this is the case. Therefore, in the conventional fingerprint matching device,
For example, (a) when a finger is placed on the impression surface, the reflected light from the finger is incident on the camera 21. Therefore, the average luminance in a determination area used for fingerprint collation or the like in an imaged screen by the camera 21 is obtained. When the average luminance exceeds a preset threshold value, it is presumed that the reflected light from the finger 25 has entered the camera 21, it is determined that the fingerprint is imprinted, the captured image signal at that time is captured, and fingerprint registration and registration are performed. A method for performing fingerprint collation is known.

【0005】又(b)判定エリア内を複数のブロックに
分割し、各ブロック内の平均輝度が閾値を超えたブロッ
クの数が所定値以上の時に、押捺状態と判定する方式も
知られている。又判定エリア内のブロック数をj、ブロ
ック内画素数をm、判定エリア内の画素の輝度をPqn
すると、或るブロックの平均輝度Aq は、 Aq =(Σn=1 n=m qn)/m …(1) と表すことができる。そして、或る閾値aに対して前述
の平均輝度がAq >aとなるブロックの総数を求めてN
とし、この総数Nが或る閾値bに対してN>bの関係と
なった時に、指紋押捺と判定する方式も知られている。
[0005] (b) A method is also known in which the judgment area is divided into a plurality of blocks, and when the number of blocks in each of which the average luminance exceeds a threshold value is equal to or greater than a predetermined value, the state of imprinting is determined. . If the number of blocks in the determination area is j, the number of pixels in the block is m, and the luminance of the pixels in the determination area is P qn , the average luminance A q of a certain block is A q = (Σ n = 1 n = m P qn ) / m (1) Then, for a certain threshold value a, the total number of blocks in which the above-mentioned average luminance satisfies A q > a is obtained, and N
When the total number N satisfies the relationship of N> b with respect to a certain threshold value b, there is also known a method of determining that a fingerprint is imprinted.

【0006】[0006]

【発明が解決しようとする課題】前述の従来例の(a)
の判定エリア内の平均輝度が閾値を超えた時に、指紋押
捺と判定する方式は、直射日光等のように、強い光が指
紋押捺面に入射されると、弾性膜24の散乱光がカメラ
21に入射されて、全面が全体的に白い画面となり、平
均輝度が上昇する。即ち、押捺判定に於いて誤りが生じ
ることになる。
The above-mentioned prior art (a)
When the average luminance in the determination area exceeds the threshold value, the fingerprint is determined to be a fingerprint imprint. When strong light is incident on the fingerprint imprint surface, such as direct sunlight, the scattered light of the elastic film 24 is generated by the camera 21. , The entire screen becomes a white screen as a whole, and the average luminance increases. That is, an error occurs in the seal determination.

【0007】又従来例(b)の判定エリア内の各ブロッ
クの平均輝度が閾値aを超えた数Nを求め、その数Nが
閾値bを超えた時に、指紋押捺と判定する方式は、光源
22の照明むらを救済できるとしても、従来例の(a)
の場合と同様に、強い光が押捺面に入射されると、各ブ
ロックの平均輝度が大きくなるから、押捺判定に誤りが
生じることになる。本発明は、このような押捺判定の誤
りを防止した指紋照合装置及び指紋押捺判定方法を提供
することを目的とする。
In the conventional example (b), a method of determining a number N where the average luminance of each block in the determination area exceeds the threshold value a, and when the number N exceeds the threshold value b, determines that the fingerprint is imprinted. Even if the illumination unevenness of 22 can be remedied, the conventional example (a)
As in the case of (1), if strong light is incident on the impression surface, the average luminance of each block increases, and an error occurs in the impression determination. An object of the present invention is to provide a fingerprint collation device and a fingerprint imprint determination method which prevent such an error in imprint determination.

【0008】[0008]

【課題を解決するための手段】本発明の指紋照合装置及
び指紋押捺判定方法は、光源からの照明による反射光を
入射させて撮像する構成の指紋撮像部1と、指紋判定エ
リア内を複数のブロックに分割し、指紋撮像部1からの
多値画像信号を基に、ブロック内の平均輝度を算出する
ブロック内平均輝度算出部2と、このブロック内平均輝
度算出部2からのブロック内平均輝度と判定エリア内の
各画素の輝度との偏差を求め、この偏差に対応する画素
数を求める輝度偏差算出,配列化部3と、この輝度偏差
算出,配列化部3からの偏差に対応する画素数につい
て、偏差が零近傍の所定の範囲内の画素数が閾値を超え
ない時に、指紋撮像部1に対して指紋押捺状態となった
と判定する押捺判定部4と、この押捺判定部4による指
紋押捺状態を判定した時の指紋撮像部1からの多値画像
信号を基に指紋照合を行う指紋照合部5とを備えてい
る。
According to the present invention, there is provided a fingerprint collating apparatus and a fingerprint imprint judging method, wherein a fingerprint image pickup unit 1 configured to enter an image by reflecting light from illumination from a light source, and a plurality of fingerprint judging areas. The block is divided into blocks, and the average luminance within the block is calculated based on the multi-valued image signal from the fingerprint imaging unit 1. The average luminance within the block is calculated from the average luminance within the block. And a luminance deviation calculating and arranging unit 3 for calculating the number of pixels corresponding to the deviation, and a pixel corresponding to the deviation from the luminance deviation calculating and arranging unit 3. With respect to the number, when the number of pixels within a predetermined range whose deviation is close to zero does not exceed the threshold value, a fingerprint determining unit 4 that determines that the fingerprint imaging unit 1 is in a fingerprint stamping state, Judge the stamping state And a fingerprint verification unit 5 for fingerprint identification based on multi-valued image signal from the fingerprint image pickup unit 1 when.

【0009】又指紋照合装置に於ける指紋押捺判定方法
は、指紋撮像部1によって撮像した多値画像信号を基
に、指紋の判定エリア内の複数のブロック毎に平均輝度
を求め、このブロック毎の平均輝度とそのブロック内の
画素の輝度との偏差を求め、判定エリア全体について偏
差に対応する画素数を求め、横軸を偏差、縦軸を画素数
に配列した時に、偏差が零の点から横軸方向に所定の値
をシフトした点を中心とした所定範囲内に於ける画素数
が閾値を超えたか否かを判定し、超えない時は指紋押捺
状態であると判定する過程を含むものである。
In the fingerprint imprint determining method in the fingerprint collating apparatus, an average luminance is obtained for each of a plurality of blocks in a fingerprint determining area based on a multi-valued image signal picked up by the fingerprint image pick-up unit 1. The deviation between the average luminance of the block and the luminance of the pixels in the block is determined, the number of pixels corresponding to the deviation is determined for the entire determination area, the horizontal axis is the deviation, and the vertical axis is the number of pixels. From a predetermined value centered on a point shifted by a predetermined value in the horizontal axis direction from the threshold value, and determines whether or not the number of pixels has exceeded a threshold value. It is a thing.

【0010】[0010]

【作用】CCDカメラ等を含む指紋撮像部1からの多値
画像信号は、インタフェース部6を介してブロック内平
均輝度算出部2に加えられ、このブロック内平均輝度算
出部2は、撮像エリア内の判定エリアを複数のブロック
に分割して、各ブロック内の平均輝度を算出する。輝度
偏差算出,配列化部3は、ブロック内平均輝度とそのブ
ロック内の各画素の輝度との偏差を求め、判定エリアの
全画素について処理し、偏差と画素数との対応を求め
る。押捺判定部4は、偏差が零近傍の所定範囲内の画素
数が閾値を超えた時は、外光が指紋撮像部1に入射した
ものと判定し、又超えない時は、指紋撮像部1に対して
指紋押捺状態となっていると判定し、その時の指紋撮像
部1からの多値画像信号を二値化部7に於いて二値化
し、記憶部8に登録された二値化登録指紋と指紋照合部
5に於いて照合し、照合判定を出力する。
The multi-valued image signal from the fingerprint imaging unit 1 including a CCD camera and the like is applied to the average brightness calculation unit 2 in the block via the interface unit 6. Is divided into a plurality of blocks, and the average luminance in each block is calculated. The luminance deviation calculating and arranging unit 3 calculates a deviation between the average luminance in the block and the luminance of each pixel in the block, processes all the pixels in the determination area, and obtains a correspondence between the deviation and the number of pixels. The impression determining unit 4 determines that external light has entered the fingerprint imaging unit 1 when the number of pixels within a predetermined range near zero is greater than the threshold, and determines that the external light has not exceeded the threshold. Is determined to be in the fingerprint imprinting state, the multi-valued image signal from the fingerprint imaging unit 1 at that time is binarized in the binarization unit 7, and the binarization registration registered in the storage unit 8 is performed. The fingerprint is collated with the fingerprint collation unit 5 and a collation judgment is output.

【0011】又押捺判定方法は、指紋の判定エリア内の
複数のブロック毎に平均輝度を求めて、このブロックの
各画素の輝度とブロック内平均輝度との偏差を求め、次
に、判定エリア全体について偏差と画素数との関係を求
める。そして、横軸を偏差、縦軸を画素数とすると、外
光入射の場合、或いはこれと反対に指紋撮像部1への入
射光が僅かの反射光のみの場合、殆どの画素は、ブロッ
ク内平均輝度との偏差が零又はそれに近いものとなり、
偏差零近傍の画素数は閾値を超える程度に多くなる。こ
れに対して、指紋押捺状態の場合は、指紋に対応した反
射光が指紋撮像部1に入射されるから、偏差零近傍の画
素数は少なくなり、この偏差零近傍を中心に双峰特性の
画素数分布となって、偏差零近傍の画素数は閾値を超え
ないものとなる。又指紋撮像部1や各部の構成の電気的
な特性に対応して、偏差に対する画素数分布特性は、偏
差零を中心に対象性を有するものではないから、偏差零
の点から横軸方向に所定の値をシフトした点を中心とし
て、所定範囲内の画素数が閾値を超えたか否かを判定す
る。
The embossing determination method is to determine an average luminance for each of a plurality of blocks in a fingerprint determination area, determine a deviation between the luminance of each pixel of this block and the average luminance in the block, and then determine the entire determination area. , The relationship between the deviation and the number of pixels is obtained. Assuming that the horizontal axis is the deviation and the vertical axis is the number of pixels, when external light is incident, or conversely, when the light incident on the fingerprint imaging unit 1 is only a small amount of reflected light, most of the pixels are within the block. The deviation from the average luminance becomes zero or close to it,
The number of pixels near the deviation of zero increases to a degree exceeding the threshold. On the other hand, in the case of the fingerprint imprinting state, the reflected light corresponding to the fingerprint is incident on the fingerprint imaging unit 1, so that the number of pixels near the zero deviation is reduced, and the bimodal characteristic around the zero deviation is the center. As a pixel number distribution, the number of pixels near zero deviation does not exceed the threshold value. In addition, corresponding to the electrical characteristics of the fingerprint imaging unit 1 and the configuration of each unit, the pixel number distribution characteristic with respect to the deviation is not symmetrical with respect to the zero deviation, so that the characteristic is distributed in the horizontal axis direction from the zero deviation point. A determination is made as to whether or not the number of pixels within a predetermined range has exceeded a threshold value, with the point shifted by the predetermined value as the center.

【0012】[0012]

【実施例】図1は本発明の実施例の指紋照合装置の説明
図であり、1は指紋撮像部、2はブロック内平均輝度算
出部、3は輝度偏差算出,配列化部、4は押捺判定部、
5は指紋照合部、6はインタフェース部、7は二値化
部、8は記憶部である。指紋撮像部1は、図5に示すよ
うに、カメラ21と光源22とプリズム23と弾性膜2
4とを含む構成を有するものである。
FIG. 1 is an explanatory view of a fingerprint collating apparatus according to an embodiment of the present invention. 1 is a fingerprint imaging unit, 2 is an average luminance calculation unit in a block, 3 is a luminance deviation calculation and arraying unit, and 4 is an impression. Judgment part,
Reference numeral 5 denotes a fingerprint collating unit, 6 denotes an interface unit, 7 denotes a binarizing unit, and 8 denotes a storage unit. As shown in FIG. 5, the fingerprint imaging unit 1 includes a camera 21, a light source 22, a prism 23, and an elastic film 2.
4 is included.

【0013】この指紋撮像部1による多値画像信号は、
例えば、インタフェース部6に於いてディジタル信号に
変換されてブロック内平均輝度算出部2に加えられる。
このブロック内平均輝度算出部2と輝度偏差算出,配列
化部3と押捺判定部4とは、それぞれの機能の論理回路
によって実現することもできるが、マイクロプロセッサ
等による演算処理機能によっても容易に実現することが
できる。
The multi-valued image signal from the fingerprint imaging unit 1 is
For example, the signal is converted into a digital signal in the interface unit 6 and is added to the average luminance calculating unit 2 in the block.
The in-block average luminance calculator 2, the luminance deviation calculator, the arrayer 3, and the seal determiner 4 can be realized by logic circuits of respective functions, but can also be easily realized by an arithmetic processing function by a microprocessor or the like. Can be realized.

【0014】図2は本発明の実施例のフローチャートで
あり、ステップ(a)〜(f)によって指紋押捺判定の
動作を示し、以下図1も参照して説明する。指紋撮像部
1により撮像した撮像多値画像をインタフェース部6を
介して取込み(a)、ブロック内平均輝度算出部2に於
いて判定エリア内の各ブロック内平均輝度を算出する
(b)。
FIG. 2 is a flow chart of the embodiment of the present invention. The steps (a) to (f) show the operation of fingerprint imprint determination, which will be described below with reference to FIG. The captured multi-valued image captured by the fingerprint imaging unit 1 is captured via the interface unit 6 (a), and the average brightness in each block in the determination area is calculated in the average brightness calculation unit 2 in the block (b).

【0015】例えば、図3に示す撮像エリア11を51
2×512画素構成とすると、その中の判定エリア12
は、例えば、400×320画素構成とすることがで
き、又判定エリア12を複数のブロック13に分割す
る。各ブロック13は、例えば、16×16画素構成と
することができる。
For example, the imaging area 11 shown in FIG.
Assuming a 2 × 512 pixel configuration, the determination area 12
May have, for example, a 400 × 320 pixel configuration, and divide the determination area 12 into a plurality of blocks 13. Each block 13 can have, for example, a 16 × 16 pixel configuration.

【0016】前述と同様にして、判定エリア12内のブ
ロック13の数をj、ブロック内画素数をm、判定エリ
ア12内の画素の輝度をPqnとすると、ブロック内平均
輝度Aq は、(1)式によって求めることができる。前
述のように、判定エリア12の画素数を400×32
0、ブロック13の画素数を16×16とすると、j=
500、m=256となる。
As described above, if the number of blocks 13 in the decision area 12 is j, the number of pixels in the block is m, and the luminance of the pixels in the decision area 12 is P qn , the average luminance A q in the block is It can be determined by equation (1). As described above, the number of pixels in the determination area 12 is set to 400 × 32
0, the number of pixels of the block 13 is 16 × 16, j =
500, m = 256.

【0017】ブロック内平均輝度を求め(b)、更に、
各画素の輝度と各ブロック内平均輝度との差を求め、こ
の差が同一の画素数を求める(c)。即ち、輝度偏差算
出,配列化部3に於いて、ブロック内平均輝度Aq とこ
のブロック内の各画素の輝度Pqnと偏差を求め、判定エ
リア12内の全画素についてそれぞれ偏差を求めて、同
一偏差の画素数を求める。
The average luminance in the block is obtained (b).
The difference between the luminance of each pixel and the average luminance in each block is determined, and the number of pixels having the same difference is determined (c). That is, the luminance deviation calculating, in the sequencing unit 3 obtains a brightness P qn and variance of each pixel in the block and block average luminance A q, seeking each deviation for all the pixels in the determination area 12, The number of pixels having the same deviation is obtained.

【0018】そして、横軸に偏差、縦軸に画素数となる
ように、偏差に対する画素数分布を求める。即ち、輝度
偏差算出,配列化部3に於いて同一偏差の画素数を累算
して、テーブル等を用いて偏差対応に画素数を配列す
る。図4は偏差に対する画素数分布の一例を示し、同図
の曲線Aは外光が入射した場合、曲線Bは指紋押捺の場
合を示す。即ち、外光が入射した場合には、判定エリア
12内の各ブロック13は殆ど同一の輝度となるから、
偏差0近傍の画素数が多くなる。従って、単峰特性とな
る。理想的には、判定エリア12内が均一輝度であれ
ば、偏差0の画素数は、前述の場合128000とな
り、他の偏差の画素数は0となる。このように、指紋押
捺状態でない場合は、閾値をσとすると、単峰特性とな
るから、閾値σを超えることになる。
Then, a pixel number distribution with respect to the deviation is obtained such that the horizontal axis represents the deviation and the vertical axis represents the number of pixels. That is, the luminance deviation calculating and arranging unit 3 accumulates the number of pixels having the same deviation, and arranges the number of pixels corresponding to the deviation using a table or the like. FIG. 4 shows an example of the pixel number distribution with respect to the deviation. Curve A in FIG. 4 shows the case where external light is incident, and curve B shows the case of fingerprint imprinting. That is, when external light is incident, each block 13 in the determination area 12 has almost the same luminance.
The number of pixels near the deviation 0 increases. Therefore, it has a single-peak characteristic. Ideally, if the determination area 12 has uniform brightness, the number of pixels having a deviation of 0 is 128000 in the above-described case, and the number of pixels having other deviations is 0. As described above, when the fingerprint is not imprinted, if the threshold is set to σ, the characteristic becomes a single peak, and thus exceeds the threshold σ.

【0019】又指紋を撮像した場合は、指紋の隆線と谷
線との微小パターンに対応した輝度分布となるから、偏
差0近傍の画素数は比較的少なくなる。即ち、ブロック
内平均輝度と同一の輝度の画素は少なくなり、偏差の比
較的広い範囲にわたって偏差対応の画素数の分布とな
り、偏差+又は偏差−の或る値で画素数が最大となる双
峰特性となる。この場合の最大画素数は閾値σを超えな
いものとなる。
When a fingerprint is picked up, the luminance distribution corresponds to the minute pattern of the ridges and valleys of the fingerprint, so that the number of pixels near the deviation 0 is relatively small. That is, the number of pixels having the same luminance as the average luminance in the block is reduced, and the distribution of the number of pixels corresponding to the deviation is obtained over a relatively wide range of the deviation. Characteristics. In this case, the maximum number of pixels does not exceed the threshold value σ.

【0020】実際には、偏差と画素数との関係は、指紋
撮像部1の特性、インタフェース部6等に於ける増幅特
性、多値画像信号のディジタル化特性等によって、曲線
Aの最大値又は曲線Bの谷部は偏差0の位置と一致しな
いことになる。そこで、偏差0の位置から特性に対応し
た所定値αだけ横軸方向にシフトした点を中心に±βの
範囲を定め、この範囲内の画素数が閾値σを超えている
か否かを調べる(図2のステップ(d))。図4に於い
ては偏差0の位置から−偏差方向にシフトした場合を示
すが、各部の特性によっては+偏差方向にシフトするこ
ともある。又±βの値は、曲線A,Bの形状等を考慮し
て選定するものであり、曲線Bの偏差0近傍の画素数の
少ない範囲を含み、且つ曲線Aの偏差0近傍の画素数の
多い範囲を含むように設定し、判定誤りを低減すること
ができる。
In practice, the relationship between the deviation and the number of pixels depends on the characteristics of the fingerprint imaging unit 1, the amplification characteristics of the interface unit 6, etc., the digitization characteristics of the multi-valued image signal, etc. The valley of the curve B does not coincide with the position of the deviation 0. Therefore, a range of ± β is set around a point shifted in the horizontal axis direction by a predetermined value α corresponding to the characteristic from the position of the deviation 0, and it is checked whether or not the number of pixels within this range exceeds the threshold σ ( Step (d) in FIG. 2). FIG. 4 shows a case where the position shifts from the position of the deviation 0 in the direction of the negative deviation. However, the position may shift in the direction of the positive deviation depending on the characteristics of each part. The value of ± β is selected in consideration of the shapes of the curves A and B, and includes the range in which the number of pixels near the deviation 0 of the curve B is small and the number of pixels near the deviation 0 of the curve A. By setting so as to include a large range, it is possible to reduce determination errors.

【0021】そして、±βの範囲内に閾値σを超える画
素数があるか否かを判定し(図2のステップ(e))、
閾値σを超えた画素数があれば、指紋押捺状態ではな
く、外光等によるものであるから、ステップ(a)に移
行し、閾値σを超えた画素数がなければ、指紋押捺と判
定し、指紋の登録,照合の処理を行う(f)。即ち、押
捺判定部4に於いて、ステップ(e)の処理を行い、指
紋押捺状態と判定すると、二値化部7に於いて二値化
し、指紋登録時は記憶部8に登録し、指紋照合時は、記
憶部8から登録した指紋を読出して、指紋照合部5に於
いて照合し、本人確認か否かの照合判定出力が得られ
る。
Then, it is determined whether or not there is a pixel number exceeding the threshold value σ within the range of ± β (step (e) in FIG. 2).
If there is a pixel number exceeding the threshold σ, it is not due to the fingerprint imprinting state, but due to external light, etc., and the process proceeds to step (a). If there is no pixel number exceeding the threshold σ, it is determined that the fingerprint is imprinted. Then, fingerprint registration and collation processing is performed (f). That is, the processing of step (e) is performed by the impression determining unit 4, and when it is determined that the fingerprint is imprinted, the image is binarized by the binarizing unit 7. At the time of collation, the registered fingerprint is read from the storage unit 8, collated by the fingerprint collation unit 5, and a collation determination output as to whether or not the identity is verified is obtained.

【0022】[0022]

【発明の効果】以上説明したように、本発明の指紋照合
装置は、指紋撮像部1と、ブロック内平均輝度算出部2
と、輝度偏差算出,配列化部3と、押捺判定部4と、指
紋照合部5とを含み、判定エリアの各ブロック内平均輝
度と各画素の輝度との偏差を求めて、同一偏差の画素数
を求めて、その画素数が閾値σを超えるか否かを判定
し、超えない場合は指紋押捺状態と判定して、指紋照合
を行うものであり、指紋押捺状態でなく、強い外光が入
射した場合、又は反対に何も入射されない場合に、偏差
0近傍の画素数が多くなるから、指紋押捺状態を確実に
判定することができる利点があり、指紋照合時は勿論、
指紋登録時に於いても、指紋を正しく読取ったか否かを
判定することができる。
As described above, the fingerprint collating apparatus of the present invention comprises a fingerprint imaging unit 1 and an average brightness calculation unit 2 in a block.
And a luminance deviation calculating and arranging unit 3; a stamping determining unit 4; and a fingerprint collating unit 5. The deviation between the average luminance in each block of the determination area and the luminance of each pixel is determined, and pixels having the same deviation are determined. The number of pixels is determined to determine whether or not the number of pixels exceeds a threshold value σ. If the number of pixels does not exceed the threshold σ, the fingerprint is determined to be in a fingerprint-printed state, and fingerprint collation is performed. When incident, or conversely, when nothing is incident, since the number of pixels near the deviation 0 increases, there is an advantage that the state of fingerprint imprinting can be reliably determined.
Also at the time of fingerprint registration, it can be determined whether or not the fingerprint has been read correctly.

【0023】又指紋撮像部1と、ブロック内平均輝度算
出部2と、輝度偏差算出,配列化部3と、押捺判定部4
とを含む指紋照合装置に於いて、判定エリア内の複数の
ブロック毎の平均輝度とブロック内の画素の輝度との偏
差を求め、横軸に偏差、同一偏差の画素数を縦軸に表し
た時に、偏差0の点から横軸方向に所定の値αシフトし
た点を中心に、±βの範囲内に於ける画素数が閾値σを
超えない時に、指紋押捺状態と判定するもので、各部の
特性に対応してシフト値α、判定範囲βを選定すること
により、指紋押捺状態を正しく判定することができる利
点がある。
Also, a fingerprint imaging unit 1, an average luminance calculation unit 2 within a block, a luminance deviation calculation / arrangement unit 3, and a stamp determination unit 4
In the fingerprint collation device including, the deviation between the average luminance of each of a plurality of blocks in the determination area and the luminance of the pixels in the block was determined, the deviation was plotted on the horizontal axis, and the number of pixels with the same deviation was plotted on the vertical axis. Sometimes, when the number of pixels within a range of ± β does not exceed a threshold value σ around a point shifted by a predetermined value α in the horizontal axis direction from the point of deviation 0, it is determined that the fingerprint is imprinted. By selecting the shift value α and the determination range β in accordance with the above characteristics, there is an advantage that the fingerprint imprint state can be correctly determined.

【図面の簡単な説明】[Brief description of the drawings]

【図1】本発明の実施例の指紋照合装置の説明図であ
る。
FIG. 1 is an explanatory diagram of a fingerprint matching device according to an embodiment of the present invention.

【図2】本発明の実施例のフローチャートである。FIG. 2 is a flowchart of an embodiment of the present invention.

【図3】判定エリアの説明図である。FIG. 3 is an explanatory diagram of a determination area.

【図4】本発明の実施例の押捺判定の説明図である。FIG. 4 is an explanatory diagram of an impression determination according to the embodiment of the present invention.

【図5】指紋撮像部の説明図である。FIG. 5 is an explanatory diagram of a fingerprint imaging unit.

【符号の説明】[Explanation of symbols]

1 指紋撮像部 2 ブロック内平均輝度算出部 3 輝度偏差算出,配列化部 4 押捺判定部 5 指紋照合部 6 インタフェース部 7 二値化部 8 記憶部 DESCRIPTION OF SYMBOLS 1 Fingerprint imaging part 2 Average luminance calculation part in a block 3 Luminance deviation calculation and arrangement part 4 Impression judgment part 5 Fingerprint collation part 6 Interface part 7 Binarization part 8 Storage part

Claims (2)

(57)【特許請求の範囲】(57) [Claims] 【請求項1】 光源からの照明による反射光を入射させ
て撮像する構成の指紋撮像部と、 指紋の判定エリア内を複数のブロックに分割し、前記指
紋撮像部からの多値画像信号を基に、前記ブロック内の
平均輝度を算出するブロック内平均輝度算出部と、 該ブロック内平均輝度算出部からのブロック内平均輝度
と前記判定エリア内の各画素の輝度との偏差を求め、該
偏差に対応する画素数を求める輝度偏差算出,配列化部
と、 該輝度偏差算出,配列化部からの偏差に対応する画素数
について、偏差が零近傍の所定の範囲内の画素数が閾値
を超えない時に、前記指紋撮像部に対して指紋押捺状態
となったと判定する押捺判定部と該押捺判定部による指
紋押捺状態を判定した時の前記指紋撮像部からの前記多
値画像信号を基に指紋照合を行う指紋照合部とを備えた
ことを特徴とする指紋照合装置。
A fingerprint imaging unit configured to capture an image by reflecting light from illumination from a light source; dividing a fingerprint determination area into a plurality of blocks, based on a multi-valued image signal from the fingerprint imaging unit; Calculating an average luminance in the block, calculating an average luminance in the block; calculating a deviation between the average luminance in the block from the average luminance calculation in the block and the luminance of each pixel in the determination area; A brightness deviation calculating and arranging unit for obtaining the number of pixels corresponding to the pixel value, and regarding the number of pixels corresponding to the deviation from the brightness deviation calculating and arranging unit, the number of pixels within a predetermined range where the deviation is close to zero exceeds a threshold value. When there is no fingerprint imprinting unit, a fingerprint judging unit that judges that the fingerprint imprinting state has been obtained, and a fingerprint based on the multi-level image signal from the fingerprint imaging unit when the fingerprint imprinting state is judged by the embossing judging unit. Fingerprint illumination for collation A fingerprint matching device comprising:
【請求項2】 指紋撮像部によって撮像した多値画像信
号を基に、指紋の判定エリア内の複数のブロック毎に平
均輝度を求め、該ブロック毎の平均輝度と該ブロック内
の画素の輝度との偏差を求め、前記判定エリア全体につ
いて前記偏差に対応する画素数を求め、横軸を前記偏
差、縦軸を前記画素数に配列した時に、偏差が零の点か
ら横軸方向に所定の値をシフトした点を中心とした所定
範囲内に於ける前記画素数が閾値を超えたか否かを判定
し、超えない時は指紋押捺状態であると判定する過程を
含むことを特徴とする指紋照合装置に於ける指紋押捺判
定方法。
2. An average luminance is calculated for each of a plurality of blocks in a fingerprint determination area based on a multi-valued image signal captured by a fingerprint imaging unit, and an average luminance of each block and a luminance of a pixel in the block are calculated. Is obtained, the number of pixels corresponding to the deviation is obtained for the entire determination area, and the horizontal axis is the deviation, and the vertical axis is the number of pixels. Determining whether the number of pixels within a predetermined range centered on the point shifted by the threshold value exceeds a threshold value, and if not, determining that the fingerprint is in a fingerprint imprinting state. Fingerprint imprint determination method in the device.
JP6307227A 1994-12-12 1994-12-12 Fingerprint collation device and fingerprint imprint determination method Expired - Fee Related JP2990488B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP6307227A JP2990488B2 (en) 1994-12-12 1994-12-12 Fingerprint collation device and fingerprint imprint determination method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP6307227A JP2990488B2 (en) 1994-12-12 1994-12-12 Fingerprint collation device and fingerprint imprint determination method

Publications (2)

Publication Number Publication Date
JPH08161495A JPH08161495A (en) 1996-06-21
JP2990488B2 true JP2990488B2 (en) 1999-12-13

Family

ID=17966580

Family Applications (1)

Application Number Title Priority Date Filing Date
JP6307227A Expired - Fee Related JP2990488B2 (en) 1994-12-12 1994-12-12 Fingerprint collation device and fingerprint imprint determination method

Country Status (1)

Country Link
JP (1) JP2990488B2 (en)

Also Published As

Publication number Publication date
JPH08161495A (en) 1996-06-21

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