基于SoPC的低质量指纹图像预处理算法研究与实现  

Research and implementation of a low quality fingerprint image preprocess algorithm based on SoPC

作　　者：彭娟娟[1] 黄启俊[1] 常胜[1] 苑尚博[1] 宋笑影[1] 

机构地区：[1]武汉大学物理科学与技术学院,湖北武汉430072

出　　处：《电子技术应用》2012年第8期7-9,12,共4页Application of Electronic Technique

基　　金：湖北省自然科学基金(2011CDB272)

摘　　要：针对指纹质量的差异性,提出一种带有多指标质量判别的增强预处理方法,融合空域和小波域上的指标对指纹进行干、湿和质量好坏的分类,对可恢复的低质量指纹进行基于小波变换的增强预处理。算法通过Matlab进行验证。同时搭建基于SoPC技术的嵌入式平台,在Altera公司的DE2开发板上实现了整个质量判别及增强算法。结果表明,该流程能有效判断指纹的可用性,对低质量指纹增强效果显著。According to the differences of fingerprint quality, an enhanced pretreatment process with multi-index integration fingerprint image quality evaluation is introduced in this paper. The fingerprint can be classified by humidity and quality, and the low quality fingerprint which can be restore gets enhovnce pretrertment based on wavelet transform. The whole algorithm is verified by Matlab, and the process is implemented in a SOPC platform based on DE2. The results of experiments show that the process can judge the availability of fingerprint effectively and improve the quality of poor fingerprint significantly.

关 键 词：质量评估 多指标融合 低质量指纹 小波变换 SOPC 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]