| 基于简化脉冲耦合神经网络的噪声人脸识别 |
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| 引用本文： | 袁刚,周冬明,聂仁灿. 基于简化脉冲耦合神经网络的噪声人脸识别[J]. 云南大学学报(自然科学版), 2015, 37(5): 687-694. DOI: 10.7540/j.ynu.20150056 |
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| 作者姓名： | 袁刚 周冬明 聂仁灿 |
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| 作者单位： | 1.云南大学 信息学院 通信工程系, 云南 昆明 650091 |
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| 摘 要： | 利用简化脉冲耦合神经网络(S-PCNN),提出一种处理椒盐噪声污染的人脸识别新方法.首先采用S-PCNN的相似群神经元同步发放脉冲特性对原图像进行噪声检测,然后结合数学形态学实现对噪声点的消除,最后使用S-PCNN的时间序列(OTS)和欧氏距离进行人脸识别.通过计算机仿真实验表明所提算法是有效的.
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| 关 键 词： | S-PCNN 椒盐噪声 数学形态学 振荡时间序列 人脸识别 |
| 收稿时间： | 2015-01-23 |
Noise face recognition based on Simplified Pulse Coupled Neural Network |
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| YUAN Gang,ZHOU Dong-ming,NIE Ren-can. Noise face recognition based on Simplified Pulse Coupled Neural Network[J]. Journal of Yunnan University(Natural Sciences), 2015, 37(5): 687-694. DOI: 10.7540/j.ynu.20150056 |
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| Authors: | YUAN Gang ZHOU Dong-ming NIE Ren-can |
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| Affiliation: | 1.Department of Communication Engineering, School of Information Science and Engineering, Yunnan University, Kunming 650091, China |
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| Abstract: | A face recognition method for dealing with salt and pepper noise pollution using Simplified Pulse Coupled Neural Network (S-PCNN) was proposed.Firstly the paper uses similar group of S-PCNN neurons issuing synchronous pulses to detect noise of the original image,and then combines with mathematical morphology to achieve elimination noise point,finally adopts the oscillation time sequences (OTS) of S-PCNN and Euclidean distance to process face recognition.Computer simulation results show that the proposed algorithm is effective. |
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| Keywords: | Simplified Pulse Coupled Neural Network(S-PCNN) salt and pepper noise mathematical morphology oscillation time sequence face recognition |
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