一种改进ZS细化算法的方法

2009 IEEE International Conference on Network Infrastructure and Digital Content Pub Date : 2009-12-31 DOI:10.1109/ICNIDC.2009.5360858

Yuanyuan Zhang, Xiaojun Jing, Xiaoyong Wang

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引用次数: 1

摘要

指纹图像细化是自动指纹识别系统中必不可少的关键步骤。人们设计并应用了许多算法，试图获得1像素宽和8个相邻连接的细化结果。本文提出了一种通过增加消去结构模板来改善稀疏效果的方法。ZS算法是一种并行细化算法，收敛速度快，但也存在指纹脊失真、无法获得1像素宽骨架等问题。改进后的算法在不增加时间的情况下解决了这些问题，从而可以提取出更有效的指纹细节点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An approach to improve the ZS thinning algorithm

A critical and Indispensable step of an automatic fingerprint identification system (AFIS) is Fingerprint image Thinning. many algorithms have been devised and applied trying to obtain one pixel wide and 8 neighbor connected thinning result. In this paper, a method of improving the thinning result through adding eliminate structure templates is proposed. The ZS algorithm is a parallel thinning algorithm which has fast converge speed, but it also has some problems such as Distortion of the fingerprint ridge, incapability of gaining one-pixel wide skeleton. the proposed improved algorithm will solve the problems without paying extra times, as a result, more effective fingerprint minutiae points could be extracted.

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2009 IEEE International Conference on Network Infrastructure and Digital Content

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