电子学报2017，Vol.45Issue(11)：2633-2640,8.DOI:10.3969/j.issn.0372-2112.2017.11.009
非接触指纹图像识别算法研究
Recognition Algorithm Research of the Touchless Fingerprint Images
摘要
Abstract
Touchless fingerprint recognition with high acceptance,high security,hygiene advantages,is currently a hot research field of biometrics,The background areas of touchless fingerprints are more complex than those of the contact,Fingerprint image will appear rotation and translation phenomenon,What's more,the contrast of the ridge and valley lines is much lower,These factors seriously affected the performance of the touchless fingerprint recognition.So the general methods for contact fingerprint images are difficult to achieve good effect.Firstly,In this paper,a method is put out to preprocess the images reasonably aiming at these features.Secondly,the Otsu based on the Cb component of the YCbCr model is adopted to extract the finger area.When the fingerprint images are enhanced,combining the high frequency emphasis filtering and iterafive adaptive histogram equalization technique is adopted firstly and then the simplified Gabor function template is used to enhance them again.thirdly,this paper proposed a new method of extracting the ROI fingerprint area.lastly,AR-LBP algorithm is adopted for feature extraction and the nearest neighbor classifier is used for feature matching.Experimental results show that the proposed method in this paper can achieve good image identify results.关键词
非接触指纹/高频强调滤波/Otsu/自适应直方图均衡化/ROI区域/AR-LBP算法Key words
touchless fingerprint/high frequency emphasis filtering/Otsu/adaptive histogram equalization/ROI area/AR-LBP algorithm分类
信息技术与安全科学引用本文复制引用
王科俊,邢向磊,崔会涛,曹逸,乔文亚,徐怡博..非接触指纹图像识别算法研究[J].电子学报,2017,45(11):2633-2640,8.基金项目
国家自然科学基金面上项目(No.61573114) （No.61573114）
黑龙江省自然科学基金面上项目(No.F2015033) （No.F2015033）
中央高校基本科研基金(No.HEUCFJ170404) （No.HEUCFJ170404）
