JPH08161490A - Fingerprint input method - Google Patents
Fingerprint input methodInfo
- Publication number
- JPH08161490A JPH08161490A JP5133858A JP13385893A JPH08161490A JP H08161490 A JPH08161490 A JP H08161490A JP 5133858 A JP5133858 A JP 5133858A JP 13385893 A JP13385893 A JP 13385893A JP H08161490 A JPH08161490 A JP H08161490A
- Authority
- JP
- Japan
- Prior art keywords
- image
- angle
- fingerprint
- coordinate
- straight line
- 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
Abstract
Description
【0001】[0001]
【産業上の利用分野】この発明は、指紋照合等を行う際
の指紋入力方法に関する。BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a fingerprint input method for fingerprint collation or the like.
【0002】[0002]
【従来の技術】指紋照合は予め登録された指紋とのマッ
チングにより良否判断される。予め登録された指紋は、
水平及び垂直方向に正しい入力角度で登録されたもので
あるが、指紋データ入力に際し正しい角度で指紋画像が
入力されることは希である。そのため、指紋照合を行う
際、指紋入力の角度補正が必要となるが、電子的に簡易
に入力角度を補正する指紋入力方法がなく、従来は機械
的な指ガイド等を使用して、指の設置角度そのものを規
制していた。2. Description of the Related Art In fingerprint collation, a pass / fail judgment is made by matching with a fingerprint registered in advance. The pre-registered fingerprint is
Although it is registered in the horizontal and vertical directions at the correct input angle, it is rare that the fingerprint image is input at the correct angle when the fingerprint data is input. Therefore, when performing fingerprint matching, it is necessary to correct the angle of the fingerprint input, but there is no fingerprint input method that electronically easily corrects the input angle, and conventionally, using a mechanical finger guide, etc. The installation angle itself was regulated.
【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、入力され
た指紋画像の角度を簡易な方法で補正をする指紋入力方
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 provides a fingerprint input method for correcting the angle of an input fingerprint image by a simple method. The purpose is to
【0004】[0004]
【課題を解決するための手段】上記の目的を達成するた
め、この発明の指紋入力方法は接する2本の指を含む指
紋画像を入力して2値化、収縮及び膨張させて2本の指
の接線を抽出し、この接線を細線化し、この細線化画像
のY座標またはX座標において最大値及び最小値を有す
る画素間の直線を求め、この直線が垂直になるように指
紋入力画像の角度を補正するように構成している。In order to achieve the above object, the fingerprint input method according to the present invention inputs a fingerprint image including two fingers which are in contact with each other, and binarizes, contracts, and expands the fingerprint image to obtain two fingers. The tangent line of is extracted, the tangent line is thinned, the straight line between the pixels having the maximum value and the minimum value at the Y coordinate or the X coordinate of the thinned image is obtained, and the angle of the fingerprint input image so that the straight line becomes vertical. Is configured to correct.
【0005】[0005]
【作用】この発明に係る指紋入力方法によれば、接する
2本の指を含む指紋画像を入力して2値化、収縮および
膨張することで指の接線が抽出でき、この接線の細線化
後のY座標の最大値及び最小値から接線を直線として求
めることができる。According to the fingerprint input method of the present invention, a tangent line of a finger can be extracted by inputting a fingerprint image including two fingers in contact and binarizing, contracting and expanding the fingerprint image, and after thinning the tangent line. The tangent line can be obtained as a straight line from the maximum value and the minimum value of the Y coordinate of.
【0006】[0006]
【実施例】次に、この発明に係る指紋入力方法の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
フローチャートである。図5は本発明を実施する装置の
ブロックで、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IMから構成されている。
中央処理部CPU、画像処理部IPUおよび画像メモリ
IMはシステムバスSBを介して接続され、また画像処
理部および画像メモリIMはローカルバスLBでつなが
れている。DESCRIPTION OF THE PREFERRED EMBODIMENTS Next, one embodiment of a fingerprint input method according to the present invention will be described with reference to the drawings. FIG. 1 is a flow chart for implementing the present invention. FIG. 5 is a block diagram of an apparatus for carrying out the present invention. The apparatus is composed of, for example, a central processing unit CPU, an image processing unit IPU and an image memory IM.
The central processing unit CPU, the image processing unit IPU and the image memory IM are connected via a system bus SB, and the image processing unit and the image memory IM are connected by a local bus LB.
【0007】まず、接した2本の指を含む指紋画像を画
像を入力装置(図略)から入力し(ステップ1−1)、
画像メモリIMに登録する(ステップ1−2)。次に、
画像メモリIMからローカルバスLBを介して入力画素
を中央処理部CPUからの指示により画像処理部IPU
に送る。この画像処理部IPUでは、図2のように入力
画像を2値化(ステップ1−3)した後、この2値画像
に収縮処理を施す(ステップ1−4)。2本の指の接線
は関節線及び指紋より太いので、2本の指の接線の画素
は収縮処理を施しても最後まで残る。次に、この最後ま
で残った画素に所定回数膨張処理を施し(ステップ1−
5)、2本の指の接線のみを抽出する。First, a fingerprint image including two fingers touching each other is input from an input device (not shown) (step 1-1),
It is registered in the image memory IM (step 1-2). next,
An input pixel is input from the image memory IM via the local bus LB by an instruction from the central processing unit CPU.
Send to In this image processing unit IPU, the input image is binarized (step 1-3) as shown in FIG. 2, and then the binary image is subjected to contraction processing (step 1-4). Since the tangent line of the two fingers is thicker than the joint line and the fingerprint, the pixels of the tangent line of the two fingers remain until the end even if the contraction process is performed. Next, the pixels remaining until the end are subjected to expansion processing a predetermined number of times (step 1-
5) Extract only the tangents of two fingers.
【0008】次に、図3に示すように膨張処理された画
像に細線化処理を施す(ステップ1−6)。これによ
り、接線のほぼ中心線を求めることができる。この細線
化画像の中でY座標の最大値を有する画素(Ymax)
またはX座標の最小値を有する画素(Xmin)及び最
小値を有する画素(Ymin)または最大値を有する画
素(Xmax)を中央処理部CPUにより算出して抽出
する(ステップ1−7)。すなわち、この2画素は2本
の指の接線の最上部または最左部及び最下部または最右
部の画素である。Next, as shown in FIG. 3, the image subjected to the expansion process is subjected to a thinning process (step 1-6). In this way, it is possible to obtain the approximate center line of the tangent line. The pixel (Ymax) having the maximum value of the Y coordinate in this thinned image
Alternatively, the pixel having the minimum value of the X coordinate (Xmin) and the pixel having the minimum value (Ymin) or the pixel having the maximum value (Xmax) are calculated and extracted by the central processing unit CPU (step 1-7). That is, these two pixels are the uppermost or leftmost part and the lowermost or rightmost part of the tangent line of two fingers.
【0009】次に、図4に示すように、この2つの画素
間の直線Lを求め(ステップ1−8)、この直線がY軸
と平行になるようにまたはX軸と直角になるように、例
えば、細線化図形においてY軸の最大値(X軸の最小
値)を有する画素を中心として指紋画像を回転させる角
度、即ち、直線LとY軸の交角θを中央処理部CPUで
計算して求める(ステップ1−9)。次に、ステップ1
−2で登録した画像の全画素をθだけ座標回転させて入
力画像の角度補正を行う(ステップ1−10)。これに
より、適正な指紋入力画像が確保されることになる。Next, as shown in FIG. 4, a straight line L between these two pixels is obtained (step 1-8), and this straight line is made parallel to the Y axis or at right angles to the X axis. For example, the central processing unit CPU calculates an angle for rotating the fingerprint image about a pixel having the maximum value of the Y axis (minimum value of the X axis) in the thinned figure, that is, the intersection angle θ between the straight line L and the Y axis. (Step 1-9). Next, step 1
The angle of the input image is corrected by rotating the coordinates of all pixels of the image registered in -2 by θ (step 1-10). This ensures a proper fingerprint input image.
【0010】[0010]
【発明の効果】以上のように、本発明によれば接する2
本の指を含む指紋画像を入力して2値化、収縮及び膨張
させて2本の指の接線を抽出し、この接線を細線化し、
この細線化画像のY座標またはX座標において最大値
(最小値)及び最小値(最大値)を有する画素間の直線
を求め、この直線が所定の角度状態になるように指紋入
力画像の角度を補正するので、簡単な方法で入力指紋画
像の角度補正を行うことが出来、例えば、精度の高い指
紋照合の一助とすることが出来る等の効果を有する。As described above, according to the present invention, the contact 2
Input a fingerprint image containing two fingers, binarize, contract and expand to extract the tangents of the two fingers, thin the tangents,
A straight line between pixels having the maximum value (minimum value) and the minimum value (maximum value) at the Y coordinate or the X coordinate of this thinned image is obtained, and the angle of the fingerprint input image is set so that this straight line has a predetermined angle state. Since the correction is performed, the angle of the input fingerprint image can be corrected by a simple method, and for example, it has an effect of being able to assist in highly accurate fingerprint collation.
【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】回転による角度補正を説明するための概念図で
ある。FIG. 4 is a conceptual diagram for explaining angle correction by rotation.
【図5】本発明を実施する装置のブロック図である。FIG. 5 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 SB システムバス LB ローカルバス X X軸 Y Y軸 Ymax Y座標の最大値を有する画素 Ymin Y座標の最小値を有する画素 Xmax X座標の最大値を有する画素 Xmin X座標の最小値を有する画素 L 直線 θ 交角 CPU Central processing unit IPU Image processing unit IM Image memory SB System bus LB Local bus X X axis Y Y axis Ymax Pixel having the maximum value of Y coordinate Ymin Pixel having the minimum value of Y coordinate Xmax Pixel having the maximum value of X coordinate Xmin pixel having the minimum value of X coordinate L straight line θ intersection angle
Claims (1)
し、この入力画像を2値化し、この2値画像を収縮及び
膨張させて前述の2本の指の接線を抽出し、この抽出さ
れた接線を細線化し、この細線化画像のY座標またはX
座標において最大値及び最小値を有する画素間の直線を
求め、この直線に基づき指紋入力の角度を補正すること
を特徴とする指紋入力方法。1. A fingerprint image containing two touching fingers is input, the input image is binarized, and the binary image is contracted and expanded to extract the tangent lines of the two fingers, and the extraction is performed. The tangent line created is thinned, and the Y coordinate or X of this thinned image
A fingerprint input method characterized in that a straight line between pixels having a maximum value and a minimum value in coordinates is obtained, and the angle of fingerprint input is corrected based on this straight line.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP5133858A JP2901221B2 (en) | 1993-05-12 | 1993-05-12 | Fingerprint input method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP5133858A JP2901221B2 (en) | 1993-05-12 | 1993-05-12 | Fingerprint input method |
Publications (2)
Publication Number | Publication Date |
---|---|
JPH08161490A true JPH08161490A (en) | 1996-06-21 |
JP2901221B2 JP2901221B2 (en) | 1999-06-07 |
Family
ID=15114693
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP5133858A Expired - Fee Related JP2901221B2 (en) | 1993-05-12 | 1993-05-12 | Fingerprint input method |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP2901221B2 (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002083298A (en) * | 2000-09-06 | 2002-03-22 | Hitachi Ltd | Personal identification device and method |
JP2004102993A (en) * | 2003-08-11 | 2004-04-02 | Hitachi Ltd | Personal identification device and method |
JP2005083775A (en) * | 2003-09-05 | 2005-03-31 | Seirei Ind Co Ltd | Grain classifier |
US7627145B2 (en) | 2000-09-06 | 2009-12-01 | Hitachi, Ltd. | Personal identification device and method |
WO2013088555A1 (en) * | 2011-12-15 | 2013-06-20 | 富士通株式会社 | Biometric information processing apparatus, biometric information processing method, and computer program for processing biometric information |
-
1993
- 1993-05-12 JP JP5133858A patent/JP2901221B2/en not_active Expired - Fee Related
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7599523B2 (en) | 2000-09-06 | 2009-10-06 | Hitachi, Ltd. | Personal identification device and method |
JP2002083298A (en) * | 2000-09-06 | 2002-03-22 | Hitachi Ltd | Personal identification device and method |
US8670596B2 (en) | 2000-09-06 | 2014-03-11 | Hitachi, Ltd. | Personal identification device and method |
US6993160B2 (en) | 2000-09-06 | 2006-01-31 | Hitachi, Ltd. | Personal identification device and method |
US7266223B2 (en) | 2000-09-06 | 2007-09-04 | Hitachi, Ltd. | Personal identification device and method |
US7280676B2 (en) | 2000-09-06 | 2007-10-09 | Hitachi, Ltd. | Personal identification device and method |
US7995803B2 (en) | 2000-09-06 | 2011-08-09 | Hitachi, Ltd. | Personal identification device and method |
US7627145B2 (en) | 2000-09-06 | 2009-12-01 | Hitachi, Ltd. | Personal identification device and method |
US8126216B2 (en) | 2000-09-06 | 2012-02-28 | Hitachi, Ltd. | Personal identification device and method |
US8009875B2 (en) | 2000-09-06 | 2011-08-30 | Hitachi, Ltd. | Personal identification device and method |
JP2004102993A (en) * | 2003-08-11 | 2004-04-02 | Hitachi Ltd | Personal identification device and method |
JP2005083775A (en) * | 2003-09-05 | 2005-03-31 | Seirei Ind Co Ltd | Grain classifier |
WO2013088555A1 (en) * | 2011-12-15 | 2013-06-20 | 富士通株式会社 | Biometric information processing apparatus, biometric information processing method, and computer program for processing biometric information |
US9076026B2 (en) | 2011-12-15 | 2015-07-07 | Fujitsu Limited | Biometric information processing apparatus and biometric information processing method |
Also Published As
Publication number | Publication date |
---|---|
JP2901221B2 (en) | 1999-06-07 |
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