Automatic Fingerprint Identification

K. Asai; Y. Kato,; Y. Hoshino; K. Kiji

doi:10.1117/12.957371

10 October 1979 Automatic Fingerprint Identification

K. Asai, Y. Kato,, Y. Hoshino, K. Kiji

Proceedings Volume 0182, Imaging Applications for Automated Industrial Inspection and Assembly; (1979) https://doi.org/10.1117/12.957371
Event: Technical Symposium East, 1979, Washington, D.C., United States

Abstract

The present system for identifying latent fingerprints left at the scene of a crime still depends on the skill and patience of trained fingerprint technicians because of the low quality of the latent fingerprints. An image processing & feature extraction technique has been established in order to detect minutiae (ridge endings and ridge bifurcations and ridge counts useful for latent fingerprint identification. The algorithm of the latent fingerprint identification using these features has been evaluated. Each feature is detected from the gray scale image of fingerprints and described by minutiae positions, minutiae directions and interminutia ridge counts. In the latent fingerprint identification, minutiae pairs are selected according to the similarity between latent fingerprints' features and registered fingerprints' features in a file. The similarity between two fingerprints is obtained through the comparison of selected minutiae pairs. In our experiments, we attempted the feature extraction of 500 registered fingerprints and 200 latent fingerprints, and the matching between them. The experiments were carried out using a high speed microcomputer, a flying spot scanner, a color display, and a tablet unit, which con-nected with a general purpose computer system (NEAC 2200/200).

Citation Download Citation

K. Asai, Y. Kato,, Y. Hoshino, and K. Kiji "Automatic Fingerprint Identification", Proc. SPIE 0182, Imaging Applications for Automated Industrial Inspection and Assembly, (10 October 1979); https://doi.org/10.1117/12.957371

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