基于小波过零点位置不等长编码匹配的虹膜识别

传统的Boles小波过零点方法在特征匹配步骤需将不等长编码化为等长，再使用等长编码进行匹配。但造成编码不等长的原因十分复杂，将不等长编码强行化为等长十分困难，导致识别效果受到影响。针对此问题，提出了一种基于小波过零点位置不等长编码匹配的虹膜识别方法。在小波变换第4－8分解级每级下分别计算出小波过零点的位置作为编码后，使用了一种移位匹配方法直接对不等长编码求取距离，即将待匹配的两样本数据每进行一次相对移位计算一次距离，最后取最小距离作为两样本距离。在包含800张图片的虹膜图库上进行了实验，识别率达到97.70％，与Boles的小波过零点方法相比识别率提高5.16％，一次完整的特征提取及匹配只需不到0.2秒。能够很好的满足虹膜识别系统对实时应用的速度及识别率要求。

Iris recognition based on zero-crossing position of wavelet transform and variable-length code matching

Changing a variable-length code into an equal-length code is required in the feature match process of a conventional algorithm based on the zero-crossing of the wavelet transform proposed by Boles. The factor for the variability of the code length is complex,so it is difficult to change the variable-length code into the equal-length code compulsively and to avoid the effect of feature matching on the final recognition rate. To solve the above problem,an iris recognition algorithm based on the zero-crossing ...