What is it about?
A pc-based automatic system for fingerprints recording and classification is described, based on the vector analysis of bifurcations.
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Why is it important?
The system consists of a six-step process: a) acquisition, b) preprocessing, c) fragmentation, d) representation, e) description, and f) recognition. Details of each stage, along with actual examples of fingerprints recognition are provided.
Perspectives
Effective identification of fingerprints can be achieved by means of a pc, provided the proper software is utilized. The topological characteristics of each fingerprint are key for a successful identification, therefore it is recommended the use an optical system with enough resolution for the acquisition of the fingerprint, instead of digitizing a printout. The vector technique provides a useful tool to make invariable the system to adjournments of the images of the fingerprints. The test performed on our system show that it constitutes a reliable tool and some work towards addition of some mathematical morphogenesis concepts, is under way.
Dr. Alejandro Castañeda-Miranda
Creativity and Innovation Center 4.0 (CIC 4.0), Technological University of Queretaro (UTEQ)
Read the Original
This page is a summary of: Fingerprint pattern recognition from bifurcations: An alternative approach, Journal of Advanced Computer Science & Technology, May 2015, Science Publishing Corporation,
DOI: 10.14419/jacst.v4i2.4343.
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