Paper Details: Downloads: 529
Serial Number: P1150724020
Title: Verification of partially deformed Fingerprints relying on Evolutionary Algorithms
Authors: M. R. Girgis, A. A. Sewisy and R. F. Mansour
Abstract: Fingerprint verification is a well-researched problem, and automatic fingerprint verification techniques have been successfully adapted to both civilian and forensic applications for many years. However, this technology suffers from the problem of handling incomplete prints and often discards any partial fingerprints obtained. Recent research has begun to delve into the problems of incomplete or partial fingerprints. Genetic algorithm is developed to improvement of deformed ridges and complex distortions in fingerprints verification system. In order to deal with low-quality fingerprint images. We show that as image size decreases the system performance also decrease but not the size but also the number of minutiae. The algorithm gives an error rate of 19.74% for images size 60% of the original size. Our proposed method is developed to get the best match with the original and demonstrate that the minutiae template of a user may be used to reconstruct fingerprint images.
Keywords: Genetic Algorithm; Fingerprint verification; Fitness value; Minutiae template; Optimization.
Journal/Conference: International Journal of Graphics, Vision and Image Processing
Volume: 7
Issue: 1
Submission Date: 1/1/2007 12:00:00 AM
Review Date: 2/1/2007 12:00:00 AM
Publishing Date: 4/1/2007 12:00:00 AM
Article Downloads: 529
Download:

Facebook