Paper Details: Downloads: 386
Serial Number: P1121053417
Title: Fingerprint identification Based on Skeleton Minutiae extraction
Authors: Sozan Abdullah Mahmood
Abstract: The most used biometrics for human identification is fingerprint, based on the minutiae or bifurcation. In this paper, extracted features based on minutiae points and there direction. The features have been used as a set of descriptors for the fingerprint data. This set of descriptors is fed to the backpropagation neural network for the purpose of fingerprint recognition. It is found that the process of preprocessing and the method of constructing input data for neural network have great effects on producing good results in the recognition rate.
Keywords: fingerprint identification, minutiae extraction, backpropagation neural network
Journal/Conference: ICGST Conference on Artificial Intelligence and Machine Learning, AIML-11
Volume:
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Submission Date: 12/31/2010 12:00:00 AM
Review Date:
Publishing Date: 4/23/2011 12:00:00 AM
Article Downloads: 386
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