...
首页> 外文期刊>Procedia Computer Science >A Watermarking Based Approach for Protection of Templates in Multimodal Biometric System
【24h】

A Watermarking Based Approach for Protection of Templates in Multimodal Biometric System

机译:基于水印的多模式生物识别系统中模板保护方法

获取原文
           

摘要

Template protection is an essential requirement in biometric based authentication systems due to security and privacy issues. These issues have been arisen because of unsafe storage and misuse of templates. Techniques for template protection are developed so that templates stored in databases remain safe and inaccessible to unauthorized users. Security and privacy are the major factors to be achieved through these techniques. This paper presents a watermarking based approach to protect templates in multimodal biometric systems. Here, iris and face biometric traits have been used. This approach has used watermarking technique to embed iris image into face image to allow their safe storage in database. At the time of authentication, both iris and face patterns are retrieved from the watermarked image and matching is performed with query images. The final decision is given by matching score obtained after fusion of iris and face matching scores at match score level. MATLAB has been used to implement the proposed approach and the observation from results confirms that it does not degrade the recognition performance of existing multimodal biometric system. Rather, it provides protection to templates and facilitates to reject the compromised templates by extending the decomposition to higher level or simply by changing the embedding and extraction algorithms.
机译:由于安全性和隐私问题,模板保护是基于生物识别的身份验证系统的基本要求。由于不安全的存储和误用模板而出现了这些问题。开发了模板保护技术,以便存储在数据库中的模板仍然是安全的,无法访问未经授权的用户。安全性和隐私是通过这些技术实现的主要因素。本文介绍了基于水印的方法,用于保护多模式生物识别系统中的模板。这里,使用了虹膜和面部生物识别性状。该方法使用水印技术将虹膜图像嵌入到面部图像中,以允许其安全存储在数据库中。在认证时,从水印图像中检索虹膜和面部图案,并且使用查询图像执行匹配。通过匹配在匹配分数水平的虹膜和面部匹配分数之后获得的匹配分数给出最终决定。 MATLAB已被用于实施所提出的方法,并从结果的观察证实它不会降低现有多模式生物识别系统的识别性能。相反,它为模板提供保护,并促进通过将分解扩展到更高水平或简单地通过改变嵌入和提取算法来拒绝受损模板。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号