JPH08161487A - Method for identifying person by sweat gland of finger - Google Patents
Method for identifying person by sweat gland of fingerInfo
- Publication number
- JPH08161487A JPH08161487A JP5131346A JP13134693A JPH08161487A JP H08161487 A JPH08161487 A JP H08161487A JP 5131346 A JP5131346 A JP 5131346A JP 13134693 A JP13134693 A JP 13134693A JP H08161487 A JPH08161487 A JP H08161487A
- Authority
- JP
- Japan
- Prior art keywords
- image
- sweat gland
- fingerprint
- prescribed
- sweat
- 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.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/12—Fingerprints or palmprints
- G06V40/1347—Preprocessing; Feature extraction
Landscapes
- Engineering & Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Collating Specific Patterns (AREA)
Abstract
Description
【0001】[0001]
【産業上の利用分野】この発明は、指の情報により人を
特定する際の指の汗腺による個人特定方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a method for identifying an individual by a sweat gland of a finger when identifying a person based on information on the finger.
【0002】[0002]
【従来の技術】個人を特定する場合、指紋は有効な情報
であり、例えば、指紋の隆線や特徴点の位置、パターン
マッチング等に基づき個人特定が行われる。しかしなが
ら、これらの手法において、隆線画像等と一緒に入力さ
れた汗腺画像はノイズとして扱われ、汗腺画像を排除す
る手法が主流であり、汗腺画像を有効に使用して人物を
特定する手法は存在しないのが現状である。2. Description of the Related Art When identifying an individual, a fingerprint is effective information, and for example, the individual is identified based on the positions of ridges and characteristic points of the fingerprint, pattern matching and the like. However, in these methods, the sweat gland image input together with the ridge image and the like is treated as noise, and the method of eliminating the sweat gland image is the mainstream, and the method of effectively using the sweat gland image to identify a person is The reality is that it does not exist.
【0003】[0003]
【発明が解決しようとする課題】この発明はこのような
従来の問題点を解消すべく創案されたもので、従来ノイ
ズとして扱われていた汗腺画像に注目し、指の汗腺によ
る個人特定方法を提供することを目的とする。SUMMARY OF THE INVENTION The present invention was devised to solve such conventional problems, and pays attention to a sweat gland image that has been conventionally treated as noise, and provides a personal identification method based on a sweat gland of a finger. The purpose is to provide.
【0004】[0004]
【課題を解決するための手段】この発明に係る指の汗腺
による個人特定方法は、指紋画像を入力して2値化し、
この2値化画像を細線化、ラベリングしてラベリング画
像における各グループの画素数をカウントして画素数が
所定値以上のグループを指紋隆線間の凹部として消去
し、指紋の所定領域における上記の凹部消去後に残った
グループを汗腺とし、その数と予め登録された数を比較
し、個人を特定する。According to a personal identification method by a sweat gland of a finger according to the present invention, a fingerprint image is inputted and binarized,
The binarized image is thinned and labeled to count the number of pixels in each group in the labeled image, and the groups having a predetermined number of pixels or more are erased as recesses between the fingerprint ridges, and the above-mentioned areas in the predetermined area of the fingerprint are deleted. The group remaining after the depression is erased is defined as a sweat gland, and the number is compared with the number registered in advance to identify an individual.
【0005】[0005]
【作用】この発明に係る指の汗腺による個人特定方法
は、指紋画像を入力して画像を2値化するので指紋の隆
線部および指紋の汗腺部と隆線間の凹部を判別でき、こ
の2値化画像を細線化してラベリングして各グループの
画素数をカウントし、画素数が所定値以上のグループを
隆線の凹部として消去することができるので汗腺のみ抽
出可能となる。In the individual identifying method using the sweat glands of the finger according to the present invention, since the fingerprint image is input and the image is binarized, the ridge portion of the fingerprint and the recess portion between the sweat gland portion and the ridge of the fingerprint can be identified. Since the binarized image is thinned and labeled to count the number of pixels in each group, and the groups having a predetermined number of pixels or more can be erased as ridge recesses, only sweat glands can be extracted.
【0006】[0006]
【実施例】次に、この発明に係る指の汗腺による個人特
定方法の1実施例を図面に基づいて説明する。図1は本
発明を実施するフローチャート、図4は本発明を実施す
るための装置のブロック図である。本装置は、例えば中
央処理部CPU、画像処理部IPUおよび画像メモリI
Mから構成され、中央処理部CPU、画像処理部IPU
及び画像メモリIMはシステムバスSBで接続されてお
り、さらに画像処理部IPUと画像メモリIMはローカ
ルバスLBでつながれている。DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, one embodiment of a method for identifying an individual by means of a sweat gland of a finger according to the present invention will be described with reference to the drawings. FIG. 1 is a flowchart for carrying out the present invention, and FIG. 4 is a block diagram of an apparatus for carrying out the present invention. The present apparatus includes, for example, a central processing unit CPU, an image processing unit IPU, and an image memory I.
Central processing unit CPU, image processing unit IPU
The image memory IM and the image memory IM are connected by a system bus SB, and the image processing unit IPU and the image memory IM are connected by a local bus LB.
【0007】まず検出面に触れている指紋画像を入力装
置(図略)で入力し(ステップ1−1)、入力画像を予
め登録してある登録データに照らして位置合わせを行う
(ステップ1−2)。この位置合わせした入力画像を画
像メモリIMに登録し(ステップ1−3)、この登録さ
れた入力画像をローカルバスLBを介して画像処理部I
PUに取り込み、ここで図2に示すように2値化する
(ステップ1−4)。これにより、指紋の隆線および指
紋の汗腺と隆線間の凹部を分ける。First, a fingerprint image touching the detection surface is input by an input device (not shown) (step 1-1), and the input image is aligned with the registered data registered in advance (step 1- 2). The registered input image is registered in the image memory IM (step 1-3), and the registered input image is input to the image processing unit I via the local bus LB.
It is taken into the PU and binarized as shown in FIG. 2 (step 1-4). This separates the ridges of the fingerprint and the sweat glands of the fingerprint and the depressions between the ridges.
【0008】次に、この2値画像に細線化処理を施す
(ステップ1−5)。細線化の結果、図3のように隆線
間の凹部の連続性は保持されるが、一つ一つ独立してい
る汗腺に細線化処理を施すと、その殆どが弧立点に近い
数個の画素からなる画像となる。次に、この細線化画像
にラベリング処理を施す(ステップ1−6)。Next, a thinning process is applied to this binary image (step 1-5). As a result of the thinning, the continuity of the recesses between the ridges is maintained as shown in FIG. 3, but when individual sweat glands are thinned, most of them are close to the arc starting point. The image is composed of individual pixels. Next, a labeling process is applied to this thinned image (step 1-6).
【0009】そして、ラベリング画像における各グルー
プの画素数を中央処理部CPUで数える(ステップ1−
7)。この場合、連続性を保持している隆線間の凹部画
像の画素数は多くなるが、孤立点に近い汗腺の画像の画
素数は逆に少なくなる。The central processing unit CPU counts the number of pixels in each group in the labeled image (step 1-
7). In this case, the number of pixels of the concave image between the ridges that maintain continuity increases, but the number of pixels of the image of the sweat gland near the isolated point decreases conversely.
【0010】次に、画素数が所定値以上のラベリング画
像を消去する(ステップ1−8)。すなわち、画素数が
所定値以下の場合は汗腺とみなし、逆に、画素数が所定
値以上のラベリング画像は指紋の隆線の凹部とみなすこ
とにより、汗腺のみを残し、隆線の凹部を消去するもの
である。Next, the labeling image having the number of pixels equal to or larger than a predetermined value is erased (step 1-8). That is, if the number of pixels is less than a predetermined value, it is considered as a sweat gland, and conversely, if the labeling image with a number of pixels is more than a predetermined value, it is considered as a ridge of a fingerprint ridge, and only the sweat gland is left, and the ridge of a ridge is erased. To do.
【0011】次に、指紋の所定領域Aの汗腺数を数え
(ステップ1−9)、予め登録されている本人の所定領
域の汗腺数とを比較し、その差が許容範囲以内か否かを
判断する(ステップ1−10)。許容範囲以内の場合
は、本人と特定する(ステップ1−11)。しかしなが
ら、許容範囲でない場合は、本人ではないと判断するも
のである(ステップ1−12)。Next, the number of sweat glands in the predetermined area A of the fingerprint is counted (step 1-9) and compared with the number of sweat glands in the predetermined area of the person who is registered in advance, and it is determined whether the difference is within the allowable range. Judge (step 1-10). If it is within the allowable range, the person is identified (step 1-11). However, if it is not within the allowable range, it is determined that the person is not the person (step 1-12).
【0012】[0012]
【発明の効果】以上のように、この発明に係る指の汗腺
による個人特定方法は、指紋画像を入力して2値化し、
この2値化画像を細線化、ラベリングしてラベリング画
像における各グループの画素数をカウントして画素数が
所定値以上のグループを指紋隆線間の凹部として消去
し、指紋の所定領域における前述の凹部消去後に残った
グループを汗腺とし、その数と予め登録された数を比較
し、個人を特定するので、従来画像ノイズとして扱われ
ていた汗腺画像に基づき迅速かつ簡単な方法で個人特定
が可能という効果を有する。As described above, according to the method for identifying an individual by the sweat glands of the finger according to the present invention, a fingerprint image is input and binarized,
The binarized image is thinned and labeled to count the number of pixels in each group in the labeling image, and the groups having a predetermined number of pixels or more are erased as recesses between the fingerprint ridges, and the above-described areas in the predetermined area of the fingerprint are deleted. The group left after erasing the recesses is made a sweat gland, and the number is compared with the number registered in advance to identify the individual, so it is possible to identify the individual in a quick and easy method based on the sweat gland image conventionally treated as image noise. Has the effect.
【図1】本発明の1実施例を示すフローチャートであ
る。FIG. 1 is a flowchart showing an embodiment of the present invention.
【図2】2値画像の概念図である。FIG. 2 is a conceptual diagram of a binary image.
【図3】細線化画像の概念図である。FIG. 3 is a conceptual diagram of a thinned image.
【図4】本発明を実施する装置のブロック図である。FIG. 4 is a block diagram of an apparatus for implementing the present invention.
CPU 中央処理部 IPU 画像処理部 IM 画像メモリ SL システムバス LS ローカルバス A 所定領域 CPU central processing unit IPU image processing unit IM image memory SL system bus LS local bus A predetermined area
Claims (1)
化し、この2値化画像を細線化し、この細線化画像をラ
ベリングし、このラベリング画像における各グループの
画素数をカウントし、この画素数が所定値以上のグルー
プを消去し、指紋の所定領域における上記のグループ消
去後に残ったグループの数と予め登録された数を比較す
ることにより入力者を特定することを特徴とする指の汗
腺による個人特定方法。1. A fingerprint image is input, the input image is binarized, the binarized image is thinned, the thinned image is labeled, and the number of pixels of each group in the labeled image is counted. A finger characterized by erasing a group having a predetermined number of pixels or more and comparing the number of groups remaining after the group erasing in a predetermined area of the fingerprint with the number registered in advance to identify the input person Individual identification method based on sweat glands.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP5131346A JP2859794B2 (en) | 1993-05-07 | 1993-05-07 | Individual identification method using finger sweat glands |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP5131346A JP2859794B2 (en) | 1993-05-07 | 1993-05-07 | Individual identification method using finger sweat glands |
Publications (2)
Publication Number | Publication Date |
---|---|
JPH08161487A true JPH08161487A (en) | 1996-06-21 |
JP2859794B2 JP2859794B2 (en) | 1999-02-24 |
Family
ID=15055795
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP5131346A Expired - Fee Related JP2859794B2 (en) | 1993-05-07 | 1993-05-07 | Individual identification method using finger sweat glands |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP2859794B2 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1420360A1 (en) * | 2002-11-12 | 2004-05-19 | Fujitsu Limited | Apparatus, method and program for acquiring organism characteristic data, and corresponding authentication apparatus |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11749017B2 (en) | 2019-05-28 | 2023-09-05 | Nec Corporation | Information processing apparatus, information processing method, and storage medium |
EP3979191A4 (en) | 2019-05-28 | 2022-06-29 | NEC Corporation | Information processing device, information processing method, and recording medium |
-
1993
- 1993-05-07 JP JP5131346A patent/JP2859794B2/en not_active Expired - Fee Related
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1420360A1 (en) * | 2002-11-12 | 2004-05-19 | Fujitsu Limited | Apparatus, method and program for acquiring organism characteristic data, and corresponding authentication apparatus |
US7599529B2 (en) | 2002-11-12 | 2009-10-06 | Fujitsu Limited | Organism characteristic data acquiring apparatus, authentication apparatus, organism characteristic data acquiring method, organism characteristic data acquiring program and computer-readable recording medium on which the program is recorded |
Also Published As
Publication number | Publication date |
---|---|
JP2859794B2 (en) | 1999-02-24 |
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