提出了一种基于小波变换的指纹纹理特征提取算法。首先以指纹图像的核心点为中心分割出一片有效的矩形区域,然后对分割后的有效区域做二维小波分解,提取小波分解后各通道的能量值作为特征值来进行识别。与传统的基于指纹细节点的识别算法相比该算法一定程度上减少了计算量,对指纹图像的质量要求也不高,并且识别精度也得到了保证。
A fingerprint feature extraction algorithm based on wavelet transform was proposed.Firstly,the paper centered on the core-points,then divided the fingerprint image into an effective area.Next,the area was analyzed by two-dimension wavelet transform,and the energy of every passage was accurately extracted as the fingerprint features.The proposed algorithm required less computational effort than conventional algorithms which were based upon minutia features extraction.In addition,this algorithm did not need the high quality fingerprint image.Besides,the correct recognition rate also reached a high level.