Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (20): 172-177.

### New matching algorithm of knuckleprint based on moment invariants and wavelet multi-resolution analysis

MAO Xianguang1，2, LI Yunxin2, LI Han2

1. 1.Nanning Digital Construction Office of Urban and Rural, Nanning 530028, China
2.Nanning City Emergency and Response Center, Nanning 530021, China
• Online:2015-10-15 Published:2015-10-30

### 基于不变矩和小波分析的指横纹匹配新算法

1. 1.南宁市城乡数字化建设办公室，南宁 530028
2.南宁市城市应急联动中心，南宁 530021

Abstract: In order to improve the accuracy and efficiency on the procedure of criminal investigation, a new criminal investigation evident named knuckleprint is adopted. A new matching algorithm of knuckleprint based on moment invariants and wavelet multi-resolution analysis is presented in this paper. In the first recognition stage, in order to overcome the defects caused by scale factor and rotation angle to get the set of candidate images, the algorithm not only proposes an idea of minimal rectangle to modify the calculation region of moment invariants but also adopts the elementary row transformation to transform the character matrix of radon projection. In the second recognition stage, the wavelet multi-resolution analysis is adopted to analyze the certain angle projection of candidate images set. The weighted character of moment invariants is calculated to get the similarity. Experimental result shows that this algorithm is more efficient than traditional algorithm.