Fingerprint Classification Based on Support Vector Machine

Author

Lü, Chaohui ; Wang, Hui ; Liu, Yingying

Author_Institution

Sch. of Inf. Eng., Commun. Univ. of China, Beijing, China

Volume

1

fYear

2009

fDate

24-26 April 2009

Firstpage

859

Lastpage

862

Abstract

A fingerprint classification method using the fingerprint orientation information and Support Vector Machine (SVM) was proposed. Firstly, the reference point of fingerprint image was acquired, and fingerprint pattern area was located. Then the orientation features were extracted by using Gabor filter. Finally multiclass classifiers were constructed based on SVM and a new three stage classification approach was put forward. NIST-4 database is used to assess the proposed algorithms. The experimental results show our method can get good classification results.

Keywords

Gabor filters; feature extraction; fingerprint identification; image classification; support vector machines; Gabor filter; NIST-4 database; feature extraction; fingerprint classification method; fingerprint image reference point acquisition; fingerprint orientation information; support vector machine; Chaotic communication; Data mining; Feature extraction; Fingerprint recognition; Gabor filters; Image matching; Optimization methods; Shape; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.297

Filename

5193827