Fingerprint matching based on octantal nearest-neighbor structure and core points

被引：0

作者：

Yang, Li-min ^{[1
]}

Yang, Jie

Wu, Hong-tao ^{[1
]}

机构：

[1] Hebei Univ Technol, Sch Comp Sci Software, Tianjin, Peoples R China

来源：

COMPUTER VISION, GRAPHICS AND IMAGE PROCESSING, PROCEEDINGS | 2006年 / 4338卷

关键词：

core point; corresponding minutia pair; fingerprint alignment; fingerprint matching;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we propose a novel Octantal Nearest-neighbor Structure and core points based fingerprint matching scheme. A novel fingerprint feature named the octantal nearest-neighbor structure (ONNS) is defined. Based on the ONNS, the minutiae pairing algorithm is conducted to find the corresponding minutiae pairs, and a novel algorithm is developed to evaluate the translational and rotational parameters between the input and the template fingerprints. Core point based orientation pairing is performed thereafter. Matching score is calculated. Experimental results on the FVC2004 fingerprint databases show the good performance of the proposed algorithm.

引用

页码：931 / +

页数：2

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