Image recognition method based on artificial life and support vector machine

摘要：

Image recognition is very key importance for image process. Thus, the novel image recognition method based on the hybrid model of support vector machine and artificial life is presented in the paper. The artificial life is the important research method for the traditional biology and the ecology, and the research of artificial life contributes to indicate the most essential feature that life needs and basic regulation of life evolution. FERET face database is applied to research the face recognition performance of the hybrid model of support vector machine and artificial life. It can be seen that the face recognition results of the hybrid model of support vector machine and artificial life are better than those of BP nerual network and normal support vector machine.

关键词： image process artificial life support vector machine separating hyperplane classifier

作者: Zhu Xianwen Li Jingfu

作者单位: International College Huanghuai University Zhumadian 46300,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 312-315

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）