项目名称: 基于指纹的婴幼儿身份快速识别
项目编号: No.61473257
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 其他
项目作者: 刘而云
作者单位: 浙江大学
项目金额: 80万元
中文摘要: 婴幼儿身份认证在国家户籍管理、打击拐卖儿童犯罪、医院新生儿管理等领域具有重要的应用。目前,基于DNA验证的身份认证技术虽然能够对婴幼儿进行准确识别,但是无法满足快速、实时的实际应用需求,且价格十分昂贵。随着软硬件技术水平的提高,生物特征识别技术近年来得到了迅猛的发展。指纹是已知公认的稳定且区分性高的生物特征模态,本项目以指纹做为婴幼儿生物特征识别的主要模态,探索婴幼儿手指表皮脊线纹理的成长内在不变性特点,并以这些内在不变性特点为识别的依据,研究对成长鲁棒的婴幼儿指纹识别系统,着重解决婴幼儿指纹质量评估、指纹的成长形变模型、指纹的精确匹配和模板在线更新等关键技术难点问题,为婴幼儿这一处在特殊发育时期的群体提供一套快速、准确、廉价的身份识别解决方案,为完善国家户籍管理制度、打击拐卖儿童犯罪、医院新生儿身份管理等重要应用提供坚实的技术保障。
中文关键词: 指纹识别;婴幼儿;身份认证;匹配传播;在线模板更新
英文摘要: Infant and newborn recognition has critical applications in national household registration management, prevention of child abduction and hospital newborn management. In current practice, although the DNA based identification technology can accurately recognize infants and newborns, however, it can not satisfy the need to fast and real-time requirements in real world scenario, and the price is very expensive. With the development of software and hardware technology, biometric recognition technique has gained remarkable improvement. Fingerprint is a well-known biometric modality with reliable and high discriminative features. In this project, we take fingerprint as the main biometric recognition modality, explore the internal invariant characteristics during growth of infant and newborn fingerprint, and based on these invariant characteristics, research on infant and newborn recognition system which robust to growth. We will focus on the problems of fingerprint image quality evaluation, fingerprint growth model, accurate matching algorithm and online template update, provide a fast, accurate and non-expensive identification solution to the special fast growing group of infant and newborn.The results of this project will provide a solid technology foundation to improve national household registration, prevent child abduction and improve hospital newborn management, etc.
英文关键词: fingerprint recognition;infant and newborn;identity authentication;match propogation;online template update