A two-level classifier for fingerprint recognition

1 January 1991

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

p. 2625-2628 vol.5
https://doi.org/10.1109/iscas.1991.176084

Abstract

A PC-based two-level classifier for fingerprint recognition is presented. Input fingerprint images are preprocessed via Laplacian edge detector and a skeletonization algorithm. The thinned binary image is then classified into one of the four categories of fingerprint via a curve tracing algorithm and a scoring method. Local density of the designated area is then computed for the second-level classification (i.e. within category classification). The proposed method is found to be reliable for a small set of fingerprints.<>

Keywords

FINGERPRINT RECOGNITION
FRICTION
PATTERN RECOGNITION
IMAGE EDGE DETECTION
FINGERS
THUMB
IMAGE RECOGNITION
IMAGE MATCHING
DATA PREPROCESSING
LAPLACE EQUATIONS

This publication has 2 references indexed in Scilit:

Line Thinning Algorithm
Published by SPIE-Intl Soc Optical Eng ,1983
Automatic fingerprint identification
IEEE Spectrum, 1973

Cited by 4 articles