CAJ | 학술논문

手背静脉识别技术通常基于静脉纹路的细节特征点对个人身份进行验证。为了准确地提取出手背静脉纹路中的细节特征点，提取手背静脉图像中的有效区域并对其进行归一化、增强和去噪处理，分别采用局部最大类间方差法（OSTU）、阈值图像法和NiBlack法对图像进行分割，分别采用Hilditch算法、快速细化算法、Zhang&Suen算法和OPTA算法对分割后得到的二值图像进行细化以获取静脉纹路。实验结果表明，基于合理的参数，NiBlack 法和Hilditch算法分别取得较好的分割与细化处理结果。
수배정맥식별기술통상기우정맥문로적세절특정점대개인신빈진행험증。위료준학지제취출수배정맥문로중적세절특정점，제취수배정맥도상중적유효구역병대기진행귀일화、증강화거조처리，분별채용국부최대류간방차법（OSTU）、역치도상법화NiBlack법대도상진행분할，분별채용Hilditch산법、쾌속세화산법、Zhang&Suen산법화OPTA산법대분할후득도적이치도상진행세화이획취정맥문로。실험결과표명，기우합리적삼수，NiBlack 법화Hilditch산법분별취득교호적분할여세화처리결과。
Minutiae of hand vein skeleton are usually employed in personal identification recognition. To extract the minutiae of hand vein skeleton accurately, extracts and normalizes the effective area of hand vein image and enhances followed by noise reduction. Uses the OSTU method, Threshold Image method and NiBlack method to segment the image. Uses the Hilditch algorithm, Fast algorithm, Zhang&Suen al-gorithm and OPTA algorithm to obtain the hand vein skeleton. The results indicate that, given reasonable parameters, the NiBlack method and the Hilditch algorithm do well in the hand vein segmentation and thinning, respectively.