Fingerprint Classification Based on Support Vector Machine

被引：1
|
作者：
Lue, Chaohui [1 ]
Wang, Hui [1 ]
Liu, Yingying [1 ]
机构：
[1] Commun Univ China, Sch Informat Engn, Beijing 100024, Peoples R China
来源：
INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL SCIENCES AND OPTIMIZATION, VOL 1, PROCEEDINGS | 2009年
关键词：
fingerprint classification; orientation information; Gabor filter; support vector machine;
D O I：
10.1109/CSO.2009.297
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：859 / 862
页数：4
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