本文将指背关节纹作为生物特征识别对象,提出了基于图像集与凸壳优化模型的指背关节识别算法。所提算法以指背关节纹图像集作为输入,并将局部相位特征方法用于指背关节纹特征提取,进而寻求适用于指背关节纹识别的凸壳优化模型,研究凸壳模型的构建方法并对其进行优化,从而完成指背关节纹的识别。仿真实验表明,所提算法在公开的指背关节纹中,均取得了不错的识别结果。
A finger-knuckle-print (FKP)recognition algorithm based on image set and convex hull optimization model is presented in this paper.Finger-knuckle-print image sets and Local phase quantization are utilized as inputs and feature extraction,then convex hull model construction and optimization is adopted for finger-knuckle-print recognition.Simulation experiments show that,the proposed algorithm has achieve good performance on the public FKP database.