摘要
在体全息相关识别系统中,如何改善相关峰质量是提高识别率的关键问题。该文选用的化学计量比Mg∶Fe∶LiNbO3晶体因其良好的光学均匀性,使系统的散射噪声大量减少。同时提出了一种小波多尺度变换法,对输入图像做边缘提取,保留不同图像间最具差异的平面波分量,滤除公共的0级平面波来改善相关峰的质量。以ORL标准人脸库中的图像作原始图像,建立了包含400幅全息图的相关识别系统,实验表明,该方法的相关峰锐利,旁瓣少,具有很强的抗噪能力,取得了良好的识别结果。
The key point about increasing recognition accuracy is to improve the correlation peaks quality in the volume holographic correlation recognition system. Stoichiometric Mg ： Fe ： LiNbO3 crystal is used as correlator due to its better optical uniformity, which can reduce scatter noise. At the same time, to improve the quality of correlation peaks, wavelet transform is used to extract the edge of input image, which can reserve the plane waves components having most difference and filter the zero order ones. The correlation system of 400 human face images from ORL standard face database is realized. Experiment results indicate that such method makes correlation peaks sharper and with little minor lobe. Better recognition accuracy is achieved.
出处
《压电与声光》
CSCD
北大核心
2009年第1期123-125,共3页
Piezoelectrics & Acoustooptics
