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Proceedings Paper

Optoelectronic feature extractor for classification of fingerprints
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Paper Abstract

We present the design and test results of an optoelectronic feature detector array for use in a fingerprint ridge extraction system. The system comprises a microlens array for taking multiple Fourier transforms and an array of detectors. Each detector is composed of a set of wedge photodetectors with associated winner-take-all circuitry and encoders for reporting the maximally stimulated wedge element.

Paper Details

Date Published: 9 November 1993
PDF: 9 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163589
Show Author Affiliations
Jun Ohta, Univ. of Colorado/Boulder (United States)
John P. Sharpe, Univ. of Colorado/Boulder (United States)
Kristina M. Johnson, Univ. of Colorado/Boulder (United States)


Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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