首页> 外文会议>IEEE International Conference on Cognitive Informatics Cognitive Computing >Soft biometric verification by integrating static and dynamic features based on fuzzy inference
【24h】

Soft biometric verification by integrating static and dynamic features based on fuzzy inference

机译:通过基于模糊推理的静态和动态特征集成进行软生物特征验证

获取原文

摘要

This paper proposes a simple multimodal soft biometic verification method based on fuzzy inference. This study is a part of the challenge to develop an novel natural verification technology that a user doesn't need to hold his/her biometric features to an authentication device. We employ both of static and dynamic features obtained from an appearance of a person in gait. As the result of verification experiment, we show that our developed method works successfully in spite of simple approach and an easy-to-use device.
机译:提出了一种基于模糊推理的简单多模态软生物仿制药验证方法。这项研究是开发一种新颖的自然验证技术所面临的挑战的一部分,该技术不需要用户将其生物特征保存到身份验证设备中。我们采用从步态正常的人的外观获得的静态和动态特征。验证实验的结果表明,尽管采用了简单的方法和易于使用的设备,但我们开发的方法仍能成功运行。

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