KR970066972A - Object recognition method using finger features - Google Patents

Object recognition method using finger features Download PDF

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Publication number
KR970066972A
KR970066972A KR1019960005542A KR19960005542A KR970066972A KR 970066972 A KR970066972 A KR 970066972A KR 1019960005542 A KR1019960005542 A KR 1019960005542A KR 19960005542 A KR19960005542 A KR 19960005542A KR 970066972 A KR970066972 A KR 970066972A
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KR
South Korea
Prior art keywords
finger
thickness
feature
segment
length
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Application number
KR1019960005542A
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Korean (ko)
Inventor
김원찬
Original Assignee
김원찬
이헌일
주식회사 삼정
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Application filed by 김원찬, 이헌일, 주식회사 삼정 filed Critical 김원찬
Priority to KR1019960005542A priority Critical patent/KR970066972A/en
Publication of KR970066972A publication Critical patent/KR970066972A/en

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Abstract

본 발명은 기등록된 개체의 특징과 입력되는 개체의 특징을 비교하여 개체의 동일성을 판단하는 개체 인식 방법에 관한 것으로서, 본 발명에 의한 손가락의 특징으로 이용한 개체 인식 방법은 손가락에서 굵은 선 및 손가락의 외곽선에 의하여 쉽게 식별이 가능한 손가락의 특징인, 손가락 마디의 모양, 손가락의 길이, 손가락의 두께 및 손가락의 전체적인 형상을 이용하여 개체를 인식하는 방법을 제공하므로, 종래의 지문을 인식하는 방법에 비하여 구현이 간단하고 비용이 적게드는 장점이 있다.The present invention relates to an object recognition method for determining the identity of an object by comparing features of an already registered entity with characteristics of an input entity. The object recognition method used as a feature of a finger according to the present invention is a method for recognizing an object, The length of the finger, the thickness of the finger, and the overall shape of the finger, which is a feature of the finger which can be easily distinguished by the outline of the finger, The advantages are simple to implement and low cost.

Description

손가락의 특징을 이용한 개체 인식 방법Object recognition method using finger features

본 내용은 요부공개 건이므로 전문내용을 수록하지 않았음Since this is a trivial issue, I did not include the contents of the text.

제1도는 본 발명에서 이용되는 손가락의 특징들을 보여주기 위한 도면, 제2도는 본 발명에서 이용되는 손가락의 특징 중 손가락 마디간의 길이를 측정하는 또 다른 기준선을 보여주기 위한 도면.FIG. 1 is a view for showing features of a finger used in the present invention; FIG. 2 is a view for showing another reference line for measuring the length of a finger between the features of the finger used in the present invention;

Claims (7)

기등록된 개체의 특징과 입력되는 개체의 특징을 비교하여 개체의 동일성을 판단하는 개체 인식 방법에 있어서, 개체의 손가락의 굵은 선 및 손가락의 외곽선으로 식별 가능한 손가락의 특징을 비교하여 개체의 동일성을 판단하는 것을 특징으로 하는 개체 인식 방법.A method of recognizing an object by comparing features of a previously registered object with features of an input object, the method comprising the steps of: comparing the identifiable finger characteristics of a bold line of the object finger with an outline of the finger, Wherein the object recognition method comprises: 제1항에 있어서, 상기한 손가락의 특징은 각 손가락 마디의 모양으로서, 각 마디의 굵은 선의 개수와 그 간격 및 각 마디의 높이에 의하여 특정되는 것임을 특징으로 하는 개체 인식 방법.The method according to claim 1, wherein the feature of the finger is a shape of each finger segment, and is specified by the number of thick lines of each segment, the spacing thereof, and the height of each segment. 제1항에 있어서, 상기한 손가락의 특징은 각 손가락의 길이에 관한 특징으로서, 손가락 마디간의 길이 및 손가락 마디의 높이에 의하여 특정되는 것임을 특징으로 하는 개체 인식 방법.The method according to claim 1, wherein the feature of the finger is a feature relating to the length of each finger, which is specified by a length between the finger nails and a height of the finger nail. 제1항에 있어서, 상기한 손가락의 특징은 각 손가락의 두께에 관한 특징으로서, 손가락 마디사이의 손가락의 두께 및 손가락 마디의 두께에 의하여 특정되는 것임을 특징으로 하는 개체 인식 방법.2. The method according to claim 1, wherein the feature of the finger is a feature relating to a thickness of each finger, which is specified by a thickness of a finger between finger segments and a thickness of a finger segment. 제4항에 있어서, 상기한 손가락의 두께에 관한 특징은 손가락 마디사이의 길이에 대한 해당하는 각 손가락 마디사이의 손가락의 두께의 상대값인 것을 특징으로 하는 개체 인식 방법.5. The method according to claim 4, wherein the feature relating to the thickness of the finger is a relative value of the thickness of the finger between the corresponding finger nodes with respect to the length between the finger nodes. 제4항에 있어서, 상기한 손가락의 두께에 관한 특징은 각 손가락 마디의 높이에 대한 해당하는 각 손가락 마디의 두께의 상대값인 것을 특징으로 하는 개체 인식 방법.5. The method according to claim 4, wherein the characteristic of the thickness of the finger is a relative value of the thickness of the corresponding finger node to the height of each finger node. 제2항 내지 제6항 중 어느 한 항에 있어서, 상기 개체 인식 방법은 손가락의 외곽선에 의하여 결정되는 손가락의 특징인, 손가락이 휘어진 정도와 손가락 끝이 둥글고 뭉툭한 정도 등 손가락 전체의 형상에 관한 비교하는 단계를 더 포함하는 것임을 특징으로 하는 개체 인식 방법.7. The method according to any one of claims 2 to 6, wherein the method for recognizing an individual is a comparison of the shape of the entire finger, such as the degree of bowing of the finger and the degree of roundness and roundness of the fingertip, which is characteristic of the finger determined by the outline of the finger The method further comprising the steps of: ※ 참고사항 : 최초출원 내용에 의하여 공개하는 것임.※ Note: It is disclosed by the contents of the first application.
KR1019960005542A 1996-03-04 1996-03-04 Object recognition method using finger features KR970066972A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
KR1019960005542A KR970066972A (en) 1996-03-04 1996-03-04 Object recognition method using finger features

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1019960005542A KR970066972A (en) 1996-03-04 1996-03-04 Object recognition method using finger features

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100831625B1 (en) * 2006-12-21 2008-05-27 마음넷(주) Apparatus for recognizing finger using 3-dimensional bio-information and method thereof, and system for recognizing user using the same and method thereof
KR100940902B1 (en) * 2009-05-14 2010-02-08 동국대학교 산학협력단 The biometrics using finger geometry information
KR101327939B1 (en) * 2012-08-02 2013-11-13 한국기술교육대학교 산학협력단 Biometrics system using relative ratio information of finger geometry features and the method thereof

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100831625B1 (en) * 2006-12-21 2008-05-27 마음넷(주) Apparatus for recognizing finger using 3-dimensional bio-information and method thereof, and system for recognizing user using the same and method thereof
KR100940902B1 (en) * 2009-05-14 2010-02-08 동국대학교 산학협력단 The biometrics using finger geometry information
KR101327939B1 (en) * 2012-08-02 2013-11-13 한국기술교육대학교 산학협력단 Biometrics system using relative ratio information of finger geometry features and the method thereof

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