指纹图像干湿度评价及亮度自动调节方法研究  

Research on Fingerprint Image Dryness Humidity Evaluation and Brightness Automatic Adjustment

作　　者：刘珍珍 刘云清[1] 颜飞[1] LIU Zhenzhen;LIU Yunqing;YAN Fei(School of Electronics and Information Engineering,Changchun University of Science and Technology,Changchun 130022)

机构地区：[1]长春理工大学电子信息工程学院,长春130022

出　　处：《长春理工大学学报（自然科学版）》2018年第5期83-87,共5页Journal of Changchun University of Science and Technology(Natural Science Edition)

基　　金：吉林省科技厅项目(20150309004GX)

摘　　要：警用指纹采集一体机是一种广泛应用于刑侦、安防及身份识别等领域的指纹采集设备。在实际应用中,针对因手指皮肤较干、延展性较差及采集时皮肤无法贴紧采集设备表面,导致脊线部分成像模糊甚至出现成像不完整的情况。目前国内外研究学者都在积极寻求解决方案,大多采用设备工作表面粘贴硅胶模或者后期图像增强的方案。提出了一种自动优化采集的方法,首先,采用一种改进的基于指纹图像灰度均值和方差的干湿度评价方法判断指纹的干湿。其次,自动调节设备光照亮度以提高指纹图像。减小图像失真,增强指纹质量,解决了干指纹采集成像的问题。Police fingerprint acquisition machine can be widely used in the field of criminal investigation,security and identification.In practice,fingerprint acquisition efficiency is low.Dry and wet fingerprint images are incomplete or blurred and acquisition environment has impact on acquisition equipment.In order to solve the above problems,silicone mold or image enhancement approach is used in the traditional programs.Silicone mold is easily damaged and difficult to clean.Image enhancement makes image distortion.In this paper,an automatic optimization acquisition method is proposed.Firstly,an improved dry humidity evaluation method based on the gray mean value and variance of fingerprint image is used to determine the dryness and humidity of fingerprints.Then the device illumination is automatically adjusted to improve fingerprint image.This method reduces image distortion and solves the problem of incomplete or fuzzy images.

关 键 词：指纹采集 干湿指纹 亮度调节 指纹图像增强 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]