期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：2
出版社：IJCSI Press
摘要：This paper presents a new approach to improve the recognition performance of existing authentication systems based on palmprint. The technique presented extracts multiple features namely, minutiae, texture and ridge from the palmprint image using novel algorithms. The images are then classified using Artificial Bee Colony Classifier. The proposed palmprint approach proves to be superior to existing methods in all scenarios. CASIA palmprint database is utilized to obtain the experimental results, thereby, conforming the effectiveness of the proposed approach.
