基于特定方向多尺度稀疏编码的手掌静脉特征识别方法

Palm Vein Recognition Method Based on Directional Multi-Scale Sparse Coding

为提高手掌静脉特征识别的准确率和效率,提出了基于特定方向多尺度稀疏编码(DMSC)方法.首先计算全局方向和局部方向,然后利用多尺度Gabor对划分的子区域进行独立的多尺度方向滤波,并使用稀疏编码方法进行特征提取,利用外形编码产生特征矩阵,使用标准化汉明距离方法对特征矩阵进行相似性判断.实验结果表明,DMSC方法的类间区分性较好,识别力和效率高于现有的手掌静脉识别方法.

A palm vein recognition method based on the directional multi-scale sparse coding（DMSC）was proposed to promote the recognition accuracy and operation efficiency. Firstly,the global and local orientation information were calculated from the palm vein region of interest area. Then,the directional multi-scale Gabor filter were convolved in every sub-region independently. Finally,a feature extraction mechanism based on spare coding was implemented,and the feature matrices were formed by appearancebased method. The similarity of two feature matrices were measured by normalized Hamming distance.Experiments show that the proposed DMSC method achieves higher recognition accuracy and operation efficiency than other palm vein recognition methods.