CAJ | 학술논문

静脉识别是一种新兴的生物特征识别技术，为了满足静脉识别中的特征提取需求，对手背静脉提取方法进行了研究。首先采用CLAHE算法对手背静脉图像进行增强处理，然后针对传统NIBALCK二值化算法的不足，提出一种局部静态阈值与NIBLACK相结合的改进算法。实验证明，该方法能有效消除传统方法中噪声过多、纹络断裂的现象，克服光强因素对图像提取的影响，保持完整清晰的静脉纹络结构，从而满足后续识别工作的需要。
정맥식별시일충신흥적생물특정식별기술，위료만족정맥식별중적특정제취수구，대수배정맥제취방법진행료연구。수선채용CLAHE산법대수배정맥도상진행증강처리，연후침대전통NIBALCK이치화산법적불족，제출일충국부정태역치여NIBLACK상결합적개진산법。실험증명，해방법능유효소제전통방법중조성과다、문락단렬적현상，극복광강인소대도상제취적영향，보지완정청석적정맥문락결구，종이만족후속식별공작적수요。
Vein recognition is an emerging biometric feature recognition technology. In order to meet the demands for the feature extraction in hand vein recognition,a study on hand vein extraction methods is made in this paper. The hand vein image is enhanced with CLAHE algorithm first before the image processing. Because the traditional NIBLACK algorithm for image bina?rization processing has some flaws,an improved algorithm combining local static threshold method with NIBLACK algorithm is proposed in this paper. Experimental results show that the method can effectively eliminate the phenomena of noise nimiety and texture break,and overcome the impact of light intensity on the image extraction,which can keep the clear vein structure.