文章基本信息

标题：Target Image Classification through Encryption Algorithm Based on the Biological Features
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作者：Zhiwu Chen 1 , Qing E. Wu 1,2* , Weidong Yang
期刊名称：International Journal of Intelligence Science
印刷版ISSN：2163-0283
电子版ISSN：2163-0356
出版年度：2015
卷号：05
期号：01
页码：6-12
DOI：10.4236/ijis.2015.51002
语种：English
出版社：Scientific Research Publishing
摘要：In order to effectively make biological image classification and identification, this paper studies the biological owned characteristics, gives an encryption algorithm, and presents a biological classification algorithm based on the encryption process. Through studying the composition characteristics of palm, this paper uses the biological classification algorithm to carry out the classification or recognition of palm, improves the accuracy and efficiency of the existing biological classification and recognition approaches, and compares it with existing main approaches of palm classification by experiments. Experimental results show that this classification approach has the better classification effect, the faster computing speed and the higher classification rate which is improved averagely by 1.46% than those of the main classification approaches.
关键词：Encryption; Palm Recognition; Classification; Feature Extraction