计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (8): 187-189.DOI: 10.3778/j.issn.1002-8331.2010.08.053

• 图形、图像、模式识别 • 上一篇    下一篇

基于量子神经网络的人脸识别技术研究

盖怀存,张小锋,江泽涛   

  1. 南昌航空大学 计算机学院,南昌 330063
  • 收稿日期:2008-09-09 修回日期:2008-12-12 出版日期:2010-03-11 发布日期:2010-03-11
  • 通讯作者: 盖怀存

Face recognition technology based on Quantum Neural Networks

GAI Huai-cun,ZHANG Xiao-feng,JIANG Ze-tao   

  1. School of Computer Science,Nanchang Hangkong University,Nanchang 330063,China
  • Received:2008-09-09 Revised:2008-12-12 Online:2010-03-11 Published:2010-03-11
  • Contact: GAI Huai-cun

摘要: 人脸识别问题是模式识别领域的一个重要的研究课题。提出了一种基于多层激励函数的量子神经网络人脸识别方法,采用ORL人脸图像数据库进行训练和识别。试验结果表明,该识别方法在识别率和可信性方面均有较好的效果,同时也体现了量子神经网络用于人脸识别的优越性和巨大的潜力。

Abstract: The face recognition is an important problem of pattern recognition field.A method to face recognition is presented based on multi-level transfer function quantum neural networks.The QNN is trained and tested by the ORL human face image database.The experimental results indicate the technology achieves excellent performance in terms of recognition rate and recognition reliability,and show the superiority and potential of QNN in pattern recognition field.

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