| 图书馆借阅管理系统中的人脸识别技术 |
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| 引用本文： | 张东.图书馆借阅管理系统中的人脸识别技术[J].科技与管理,2014(4):65-67. |
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| 作者姓名： | 张东 |
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| 作者单位： | 哈尔滨理工大学荣成学院; |
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| 摘 要： | 图书馆借阅管理系统中读者身份的识别是智能化管理的重要环节,目前的校园一卡通是针对物的识别,而基于指纹识别的身份鉴别的接触性和易破坏性,有悖于图书管理的人性化。采用Adaboost算法根据人脸面部的灰度分布的Haar-like特征进行人脸检测和采用主分量分析方法提取特征脸进行人脸识别,将人脸识别技术引入图书馆借阅管理,使读者身份的识别从对物的识别提升为对人的识别,提高了借阅管理系统的人性化和智能化。
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| 关 键 词： | 图书管理 借阅系统 人脸识别 Adaboost算法 主分量分析 |
Face recognition technology in library borrowing management system |
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| ZHANG Dong.Face recognition technology in library borrowing management system[J].Science-Technology and Management,2014(4):65-67. |
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| Authors: | ZHANG Dong |
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| Institution: | ZHANG Dong ( Rongcheng Campus, Harbin University of Science and Technology, Rongcheng 264300, China) |
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| Abstract: | Identification of readers is an important part of the intelligent management in library borrowing management system. Currently, the widespread use of campus card is a recognition method based on object, finger-print recognition which has the disadvantages of contact and easy destruction. They are against humanity library management. In this paper, Adaboost algorithm based on Haar-like features of gray level distribution is used to detect face. Principal component analysis method is used to extract feature faces in order to recognize face. It will upgrade reader identity from the recognition of objects to the recognition of people and greatly improve informatization, intelligent and humanization of the system, while introducing face recognition into library borrowing management system. |
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| Keywords: | library management borrowing system face recognition adaboost algorithm principal component a-nalysis |
| 本文献已被 CNKI 维普 等数据库收录！ |
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