On-line palmprint recognition based on wavelet decomposition and high and low hat transform
On-line palmprint recognition based on wavelet decomposition and high and low hat transform
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发表时间：
2011
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通讯作者：
Guo Jin-yu
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作者：
Guo Jin-yu
掌纹识别为身份识别提供了一种新的信息安全方案，为了减少对图像采集的限制，本文提出了高低帽变换方法来寻找低频子图像中的灰池，并在小波变换的基础上得到对比度增强图像，将子图像中的所有变换值进行分组，图像转化为特征向量进行识别，并在UST掌纹图像数据库上进行了实验，从实验结果来看，该方法解决了低对比度的问题，实验证明，该方法在对采集图像要求不高的情况下，能够满足身份认证系统的使用要求。
Palmprint recognition for identification provides a new scheme for information security.In order to reduce restrictions on the image acquisition,the paper presented high and low hat transform method to find the grey tanks in the low frequency sub-image and got the contrast-enhanced image on the basis of wavelet transform.Grouped all the transform values in the sub-image into a feature vector for recognition.The method was tested on the basis of UST palmprint image database.From the experimental results,the method solved low contrast about on-line palmprint images so that increased the recognition rate.It proves that the method can satisfy the uses for authentication systems without excessive demands for collection images.