摘要
研究指纹图像缺失的识别问题,当提取的指纹存在破损、缺失等不完整的问题的时候,传统的指纹识别算法都是对完整的指纹图像进行直接的操作,使算法很难准确的识别。针对上述问题,提出了指纹图像曲线变化的图像修补识别算法。通过分析指纹曲线轮廓的变化,计算出指纹曲线的演化规律,再通过离散迭代方法,完成指纹缺失图像的修补,进行识别。实验表明,方法能够有效的修补缺失的指纹图像部分,提高了后期基于指纹图像识别的准确度,取得了比较好的效果。
The traditional fingerprint identification algorithms are based on complete the fingerprint images,when extracting fingerprint were damaged and not incomplete,it is difficult for the algorithm to recognition.To solve this problem,this paper puts forward an image repair algorithm based on fingerprint image curve changes.Through the analysis of fingerprint image curve change,fingerprint curve evolution rule is calculated;through discrete iteration method,missing fingerprint inpainting is completed.The experiment results show that the method can effectively repair the missing part and improve fingerprint image recognition accuracy.Good results have been achieved.
出处
《计算机仿真》
CSCD
北大核心
2011年第8期284-286,305,共4页
Computer Simulation
关键词
指纹图像缺失
图像修补
纹路演化
Lack of fingerprint image
Complete the fingerprint image
Curve changes
