摘要： 针对基于模板脉冲耦合神经网络(PCNN)指纹图像细化算法细化时间长、纹线断裂、细化不彻底等问题，通过增加4个细化模板，重新构造方形模板及改变细化过程，提出一种基于改进PCNN的指纹图像细化算法。实验结果表明，该算法能够较好地满足细化要求，细化彻底、速度快且纹线光滑无毛刺，能够应用于其他二值图像。

关键词: 指纹图像, 细化, 冲耦合神经网络, 板

Abstract: Aiming at the problem of slow thinning speed, ridge breaking, not thinning to one pixel in fingerprint image thinning algorithm using template-based Pulse Coupled Neural Network(PCNN), four thinning templates are added, the rectangle templates are redesigned, the process is changed, and an improved thinning algorithm is presented. Experimental results show that this algorithm has many advantages such as complete thinning, high speed, smooth skeleton without spikes. It can be applied to other binary images.

Key words: fingerprint image, hinning, Pulse Coupled Neural Network(PCNN), template

中图分类号: 

• TP391