基于特定方向多尺度稀疏编码的手掌静脉特征识别方法

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.

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

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 o-rientation 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 appearance-based 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 ef-ficiency than other palm vein recognition methods.