Support vector machine for the liquid drop fingerprint recognition

Author

Song, Qing ; Yuan, Hui ; Liu, Xisheng ; Qiu, Chen

Author_Institution

Autom. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2012

fDate

29-31 May 2012

Firstpage

280

Lastpage

282

Abstract

In this paper, we introduce liquid drop fingerprint, a feature extraction method called waveform analysis and support vector machine, then discuss the recognition method of liquid drop fingerprint. The waveform analysis method can grasp the main features of the liquid drop fingerprint, greatly reduce the information needed for recognition and improve recognition efficiency. Support vector machine technology is particularly suitable for pattern classification. By using waveform analysis and support vector machine in liquid drop fingerprint recognition, we can get good results.

Keywords

feature extraction; pattern classification; support vector machines; waveform analysis; feature extraction method; liquid drop fingerprint recognition; pattern classification; support vector machine; waveform analysis; Capacitance; Fingerprint recognition; Liquids; Optical reflection; Signal analysis; Support vector machines; Training; liquid drop fingerprint; pattern recognition; support vector machine (SVM); waveform analysis method;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2012 Eighth International Conference on

Conference_Location

Chongqing

ISSN

2157-9555

Print_ISBN

978-1-4577-2130-4

Type

conf

DOI

10.1109/ICNC.2012.6234716

Filename

6234716