Target Image Classification through Encryption Algorithm Based on the Biological Features

• 作者: Qing E. Wu Weidong Yang Zhiwu Chen
• 来源期刊: 智能科学国际期刊(英文)
• 学科: 医学
• 关键词: ENCRYPTION PALM RECOGNITION CLASSIFICATION FEATURE Extraction
• 年，卷（期）: 2015,（1）
• 页码范围: 6-12
• 页数: 7页
• 分类号: R73

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.