Title :
Naive Bayes Classifier Applied in Droplet Fingerprint Recognition
Author :
Song Qing ; Liu Xisheng ; Yuan Hui ; Qiu Chen
Author_Institution :
Autom. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Droplet analysis technology developed rapidly, the recognition of droplet fingerprint become more and more important. In this paper, we introduce the waveform analysis method which used for feature extraction, and the principle of Naive Bayes classifier. The recognition rate of the droplet fingerprint recognition method which combines waveform analysis and Naive Bayes classifier reaches 98.765%.
Keywords :
Bayes methods; feature extraction; fingerprint identification; image classification; Naive Bayes classifier; droplet analysis technology; droplet fingerprint recognition; feature extraction; waveform analysis method; Bayesian methods; Capacitance; Fingerprint recognition; Liquids; Optical reflection; Signal analysis; Training; Naive Bayes classifier; droplet fingerprint recognition; waveform analysis method;
Conference_Titel :
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-3072-5
DOI :
10.1109/GCIS.2012.68
