{$cfg_webname}
主页 > 外文翻译 > 其他翻译 >

指纹识别和验证的匹配系统

来源:wenku7.com  资料编号:WK720286 资料等级:★★★★★ %E8%B5%84%E6%96%99%E7%BC%96%E5%8F%B7%EF%BC%9AWK720286
以下是资料介绍,如需要完整的请充值下载。
1.无需注册登录,支付后按照提示操作即可获取该资料.
2.资料以网页介绍的为准,下载后不会有水印.资料仅供学习参考之用. 帮助
资料介绍

指纹识别和验证的匹配系统(中文5000字,英文3000字)
摘要:指纹是在生物识别领域中使用最广泛的生物特征。指纹具有两大特征用于指纹自动识别和验证:(1)指纹脊谷结构形成在一个指纹的中心区域(2)细微区别在于局部脊线和沟结构。这就提出了自动指纹识别系统(AFIS)是一种贯彻指纹识别与验证和细节特征处理。这项技术在本文中利用单薄和分段的指纹图像中提取出指纹的特征点。该系统采用指纹索引中的指纹分类匹配,大大提高了性能匹配算法。最终结果(~ 92%精度)使用FVC2000指纹数据库获得。

Fingerprint Identification and Verification System using Minutiae    Matching
Abstract: Fingerprints are the most widely used biometric feature for person identification and verification in the field of biometric identification. Fingerprints possess two main types of features that are used for automatic fingerprint identification and verification: (i) global ridge and furrow structure that forms a special pattern in the central region of the fingerprint and (ii) Minutiae details associated with the local ridge and furrow structure.This paper presents the implementation of a minutiae based approach to fingerprint identification and verification and serves as a review of the different techniques used in various steps in the development of minutiae based Automatic Fingerprint Identification Systems (AFIS). The technique conferred in this paper is based on the extraction of minutiae from the thinned, binarized and segmented version of a fingerprint image. The system uses fingerprint classification for indexing during fingerprint matching which greatly enhances the performance of the matching algorithm. Good results (~92% accuracy) were obtained using the FVC2000 fingerprint databases.

推荐资料