| 基于量子神经网络的人脸识别技术研究 |
| |
| 引用本文： | 盖怀存,张小锋,江泽涛. 基于量子神经网络的人脸识别技术研究[J]. 计算机工程与应用, 2010, 46(8): 187-189. DOI: 10.3778/j.issn.1002-8331.2010.08.053 |
| |
| 作者姓名： | 盖怀存 张小锋 江泽涛 |
| |
| 作者单位： | 南昌航空大学 计算机学院，南昌 330063 |
| |
| 基金项目： | 国家自然科学基金Grant No.60673055~~ |
| |
| 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。
|
| 关 键 词： | 人脸识别 量子神经网络 多层激励函数 模式识别 |
| 收稿时间： | 2008-09-09 |
| 修稿时间： | 2008-12-12 |
Face recognition technology based on Quantum Neural Networks |
| |
| GAI Huai-cun,ZHANG Xiao-feng,JIANG Ze-tao. Face recognition technology based on Quantum Neural Networks[J]. Computer Engineering and Applications, 2010, 46(8): 187-189. DOI: 10.3778/j.issn.1002-8331.2010.08.053 |
| |
| Authors: | GAI Huai-cun ZHANG Xiao-feng JIANG Ze-tao |
| |
| Affiliation: | School of Computer Science，Nanchang Hangkong University，Nanchang 330063，China |
| |
| 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. |
| |
| Keywords: | face recognition Quantum Neural Networks(QNN) multi-level pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
