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  1. comparison

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  2. comparison of iris and face detection
  3. 所属分类:Development Research

    • 发布日期:2017-04-23
    • 文件大小:128.18kb
    • 提供者:hemant
  1. luyouqijichu

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  2. 生物识别技术在科研领域取 得了极大的重视和发展。由于生物特征是人的内在属性,具有很强的自身稳定性和个 体差异性,因此是身份验证的最理想依据川。其中,利用人脸特征进行身份验证又是 最自然直接的手段,与指纹、虹膜、掌纹等其他人体生物特征识别系统相比,人脸识 别系统更加友好,方便,易于为用户所接受,有广阔的应用领域。-Biometric technology in the research field of great importance and development. Biolo
  3. 所属分类:File Formats

    • 发布日期:2017-04-16
    • 文件大小:435.66kb
    • 提供者:付采
  1. biometric-recognition-

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  2. 本文结合人脸识别、指纹识别以及虹膜识别传统生物特征识别技术,对近年来研究人员在非限定生物特征方面的努力与成就进行回顾。-In this paper, face recognition, fingerprint recognition and iris recognition biometric technology, the traditional, to the limit in recent years, researchers in non-biological characteristi
  3. 所属分类:Development Research

    • 发布日期:2017-03-29
    • 文件大小:730.68kb
    • 提供者:ygliang30
  1. nps20-062306-10

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  2. 做生物识别认证必备文档 指纹数据格式 ANSI-377 ANSI-378 ANSI-381 人脸识别数据格式 ANSI-385 虹膜(视网膜)识别数据格式 ANSI-379 -Essential document identification data format of the fingerprint data format ANSI-377/ANSI-378/ANSI-381 of face recognition data for
  3. 所属分类:File Formats

    • 发布日期:2017-11-13
    • 文件大小:187.98kb
    • 提供者:skertone
  1. 06701687

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  2. The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive
  3. 所属分类:Project Design

    • 发布日期:2017-04-24
    • 文件大小:241.88kb
    • 提供者:krish
  1. EEG-for-biometrics

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  2. Biometric recognition is the science of establishing the identity of a person using his/her physical or biological characteristics. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG si
  3. 所属分类:Development Research

    • 发布日期:2017-04-25
    • 文件大小:407.53kb
    • 提供者:ARUNA RAJAN
  1. proiect

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  2. In this paper we present the usefulness of the algorithm DCT (Discrete cosine Transform) blocks applied level image compression JPEG (Joint Photographic Experts Goup). It has been shown that this algorithm is the most efficient in the case of compres
  3. 所属分类:software engineering

    • 发布日期:2017-05-14
    • 文件大小:3.35mb
    • 提供者:Stumer_Robert
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