IPC분류정보
| 국가/구분 |
United States(US) Patent
등록
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| 국제특허분류(IPC7판) |
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| 출원번호 |
US-0035483
(1993-03-22)
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발명자
/ 주소 |
- Gagne Patricia C. (Coventry RI) Puterko Carol M. (Coventry RI)
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| 출원인 / 주소 |
- TMS Inc. (Coventry RI 02)
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| 인용정보 |
피인용 횟수 :
50 인용 특허 :
0 |
초록
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The invention relates to a system and methods for verifying a person\s identity, and pertains in particular to such a system and methods which utilize comparison of a fingerprint pattern for identification verification. The image of a fingerprint of a person to be identified is provided on an inkles
The invention relates to a system and methods for verifying a person\s identity, and pertains in particular to such a system and methods which utilize comparison of a fingerprint pattern for identification verification. The image of a fingerprint of a person to be identified is provided on an inkless means which when touched by a finger of the person causes immediate development of an image of the fingerprint of the finger in a black and white appearance. This image of a fingerprint is video scanned (60) to produce image data which is digitized (10) to produce a non-minutiae digitized numerical identifier indicative of the fingerprint. A preferred method and system provides a non-minutiae digitized numerical identifier having 24 bytes of fingerprint identification data which is recordable within the magnetic stripe of a credit card personal to a person, or may be recorded within the confines of a portable personnel identification means, or within a smart card, personal to a person. The non-minutiae digitized numerical identifier is provided by selectively analyzing different parts of a fingerprint and deriving from each part a byte numeric which is directly related to the ridge count computed for that part.
대표청구항
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A method for the automatic non-minutiae identification of a fingerprint of a person to be identified, comprising the steps of: video scanning an image of a fingerprint and producing fingerprint image data and whitespace data; electronically storing in digital form, in an addressable memory, said fin
A method for the automatic non-minutiae identification of a fingerprint of a person to be identified, comprising the steps of: video scanning an image of a fingerprint and producing fingerprint image data and whitespace data; electronically storing in digital form, in an addressable memory, said fingerprint image data and whitespace data; determining the location of the said fingerprint image data stored in digital form in said addressable memory with the said whitespace data; image framing the said fingerprint image data and whitespace data to a predetermined dimension, and establishing Y-TOP and Y-BOTTOM values along the Y-axis of said predetermined dimension; computing the X-Axis Range of the fingerprint image data contained in the framed image data by determining two X-axis values, said X-axis values being X-START and X-END, wherein X-START indicates the memory data location where the fingerprint image data starts on the X-axis, and X-END indicates the memory data location where the fingerprint image data ends on the X-axis; computing the Y-Axis Range of the fingerprint image data contained in the framed image data by determining two Y-axis values, said Y-axis values being Y-START and Y-END, wherein in Y-START indicates the memory data location where the fingerprint image data starts on the Y-axis, and Y-END indicates the memory data location where the fingerprint image data ends on the Y-axis; determining the dimensional area of said fingerprint image data by utilizing said X-START, X-END, Y-START and Y-END values; defining a fingerprint identity window within said fingerprint image data; defining said whitespace data as having a predetermined greylevel value; defining said fingerprint image data as having a second predetermined greylevel value distinct from that defined for the said whitespace data; as to said image framing, examining memory data locations (128, Y) where 0≤Y≤255, and upon finding three consecutive rows of whitespace data, defining Y-TOP as the latter examined data row Y-axis value, and examining memory data locations (128, Y) where 255≥Y≥0 and upon finding three consecutive rows of whitespace data, defining Y-BOTTOM as the last examined data row Y-axis value; computing the X-Axis Range of the framed image data to indicate the start and end memory locations of the fingerprint image data on the X-axis by determining X-START and X-END X-axis values, wherein X-START is determined by examining memory data locations (X,Y) where 0≤X≤255 and Y-TOP≤Y≤Y-BOTTOM, by detecting three consecutive columns of whitespace data and a next column having a greylevel value equal to said second predetermined value and considering the memory data location of said next column to be a first part of said fingerprint image data along the X-axis, and wherein X-END is determined in similar manner as for said X-START value but in an opposite direction from 255≥X≥along the X-axis so that said X-END value indicates the memory data location along the X-axis where the fingerprint image data ends; computing the Y-Axis Range of the framed image data to indicate the start and end memory locations of the fingerprint image data on the Y-axis by determining Y-START and Y-END Y-axis values, wherein Y-START is determined by memory data locations (X,Y) where X-START≤X≤X-END and Y-TOP≤Y≤Y-BOTTOM by detecting three consecutive rows of whitespace data and a next row having a greylevel value equal to said second predetermined value and considering the memory data location of said next row to be a first part of said fingerprint image along the Y-axis, and wherein Y-END is determined in similar manner as for said Y-START value but in an opposite direction from Y-BOTTOM≥Y≥Y-TOP along the Y-axis so that said Y-END value indicates the memory data location along the Y-axis where the fingerprint image data ends; defining said fingerprint identity window by determining the dimension of said window around an origin point defined as (XC,YC) wherein: XC=X-END minus (X-END minus X-START)÷3 and YC=Y-END minus (Y-END minus Y-START)÷2; and further defining the dimensional area of the said fingerprint identity window by predetermining a window-size for said fingerprint identity window and defining said dimensional area as from (XC-DIFF, YC-DIFF) to (XC+DIFF, YC+DIFF) where DIFF=½(window-size minus 1), wherein (XC-DIFF)=Xs (YC-DIFF)=Ys, (XC+DIFF)=Xe, and (YC+DIFF)=Ye.
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