Fingerprint Classification Based on Support Vector Machine

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.

关键词： fingerprint classification orientation information Gabor filter support vector machine

作者: Chaohui Lü Hui Wang Yingying Liu

作者单位: School of Information Engineering, Communication University of China, Beijing 100024

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 859-862

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）