基于图像插值的指纹图像增强方法  

Fingerprint Image Enhancement Based on Image Interpolation

作　　者：韩柯[1] 李孝君[1] 王学莉 HAN Ke;LI Xiaojun;WANG Xueli(Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China;Institute of Forensic Science of Changji Prefectural Public Security Bureau, Changji 831100, Xinjiang, China)

机构地区：[1]公安部物证鉴定中心,北京100038 [2]新疆昌吉州公安局刑侦支队刑事科学技术研究所,新疆昌吉831100

出　　处：《刑事技术》2019年第2期122-125,共4页Forensic Science and Technology

基　　金：中央级公益性科研院所基本科研业务费专项资金项目(No.2017JB020)

摘　　要：目的提出一种通过图像插值增强低分辨率指纹图像的方法。方法分别采用三种图像插值常用方法(最近邻图像插值方法、双线性图像插值方法和双三次图像插值方法)处理低分辨率指纹图像,比较指纹图像增强的效果。结果为验证图像插值方法的性能采用三种图像插值方法对低分辨率的指纹图像进行了实验,结果表明:对低分辨率的指纹图像,在上述三种指纹图像插值方法中最近邻图像插值方法虽然计算复杂度最低,但指纹图像插值效果最差;双三次图像插值方法虽然计算复杂度最高,但指纹图像插值效果最好,可有效提高指纹图像的分辨率;而双线性图像插值方法的计算复杂度和指纹图像增强效果介于其他两种方法之间。结论本文所提出的方法对低分辨率的指纹图像可以达到增强指纹图像的目的。Objective An approach is here proposed for fingerprint image enhancement based on image interpolation. Methods The resolution-low fingerprint image was respectively disposed with three common methods of image interpolation, i.e., the nearest neighborhood interpolation, bi-linear interpolation and bi-cubic interpolation. The resultant fingerprint image was assessed of its enhancing effect. Results Among the three interpolation methods to enhance the fingerprint image of low resolution, the nearest neighborhood choice is of worst competence, yet the bi-linear being better and the bi-cubic option best, meanwhile their computation complexity is also in the order from lowest to most perplexing through the nearest neighborhood handling via bi-linear to bi-cubic disposing. Conclusion The approach by the bi-cubic interpolation manipulation can preferentially enhance the fingerprint images of low resolution.

关 键 词：指纹增强 图像处理 模式识别 指纹鉴定 

分 类 号：DF794.1[政治法律—诉讼法学]