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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Doi, J. Yamanaka, M. |
| Copyright Year | 1963 |
| Abstract | A practical method for a noncontacting and real-time feature extraction for personal authentication is proposed. The finger geometry and feature extraction of the palmar flexion creases are integrated into a small number of discrete points based on the anatomical observation. For a video image of either palm, a palm placed freely facing toward a video camera is acquired. The fingers are brought together, and the palm is straightened out to eliminate any constraints. The discrete feature points for the fingers involve intersection points of the three finger (digital) flexion creases on the four finger skeletal lines. The feature points for the palm involve intersection points of the major palmar flexion creases and/or prominent creases of the palm on the extended finger skeletal lines. The orientations of the creases at the intersection points are also extracted features to be matched. The matching results are perfect for about 500 palm samples from 50 subjects so far. This discrete point processing, requiring no time-consumptive palmprint image analysis and requiring less than one second processing time, will contribute to a noncontacting, real-time and reliable feature extraction, easily combinable with other traits, for the personal authentication. |
| Sponsorship | IEEE Instrumentation and Measurement Society Bureau international des poids et mesures IEEE International Bureau of Weights and Measures (BIPM) URSI NBS Agency Ind. Sci. & Technol., Min. Int. Trade & Ind. Sci. Council Japan International Union of Pure and Applied Physics (IUPAP) NIST NRCC National Conference of Standards Laboratories (NCSL) Allen Osborne Associates Andeen-Hagerling, Inc. Ballantine Lab. Inc. Clarke-Hess Communications Research Corp. Fluke Corporation Guildline Instruments Hewlett-Packard Co. Julie Res. Lab. Inc. Keithley Instruments, Inc. Measurements International Ltd. Canada QuadTech Inc. Quantum Design Inc. Rotek Instrum. Corp. Tegam Inc. Tektronix Inc |
| Starting Page | 2213 |
| Ending Page | 2219 |
| Page Count | 7 |
| File Size | 917887 |
| File Format | |
| ISSN | 00189456 |
| Volume Number | 54 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fingers Feature extraction Authentication Geometry Fingerprint recognition Shape measurement Biometrics Cameras Image motion analysis Image processing point wise feature extraction Biometric feature extraction finger and palmar crease feature extraction image-and video-based feature extraction palm feature extraction without image pattern processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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