Description: 生物特征识别技术是为了进行身份验证而采用自动技术测量其身体特征或是个人行为特点，并将这些特征或特点与数据库的模板数据进行比较，完成认证的一种解决方案。-Biometric identification technology is in order to authenticate the use of automatic measurement of its physical characteristics or personal behavior characteristics, and these features or characteristics of the template and database data to complete the certification of a solution. Platform: |
Size: 386048 |
Author: |
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Description: createiristemplate - generates a biometric template from an iris in
％ an eye image.
％
％ Usage:
％ [template, mask] = createiristemplate(eyeimage_filename)
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％ Arguments:
％ eyeimage_filename - the file name of the eye image
％
％ Output:
％ template - the binary iris biometric template
mask - the binary iris noise mask-createiristemplate- generates a biometric template from an iris in an eye image. Usage: [template, mask] = createiristemplate (eyeimage_filename) Arguments: eyeimage_filename- the file name of the eye image Output: template- the binary iris biometric template mask- the binary iris noise mask Platform: |
Size: 1024 |
Author:wpf |
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Description: generates a biometric template from an iris in
an eye image.-generates a biometric template from an iris in
an eye image. Platform: |
Size: 16384 |
Author:samira |
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Description: Concerns on widespread use of biometric authentication systems are primarily centered around template security, revocability, and privacy. The use of cryptographic primitives to bolster the authentication process can alleviate some of these concerns as shown by biometric cryptosystems. In this paper, we propose a
provably secure and blind biometric authentication protocol, which addresses the concerns of user抯 privacy, template protection, and trust issues.
Platform: |
Size: 1581056 |
Author:prabhu |
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Description: 人耳识别作为一种新的生物特征识别技术在近两年来受到了越来越多的关注,人耳识别的研究使计算机根据人耳辨别人物身份成为可能。目前国内和国际上对此的研究还很少,还没有形成一套完整的识别体系。同人脸、虹膜和指纹等识别技术相比,人耳识别又具有其自身的独特性和研究价值。其研究内容主要涉及到人耳图像的采集、定位和分割、特征提取、模板匹配以及多模态融合等。-Ear recognition as a new biometric identification technology has received more and more attention in the past two years, the research of ear recognition makes it possible to recognize the identity of the computer according to the human ear. At present, there is little research on this country and the world, but it has not yet formed a complete set of recognition system. Compared with recognition technology of human face, iris and fingerprint, human ear recognition has its own uniqueness and research value. The main contents of the research are the acquisition, location and segmentation, feature extraction, template matching and multimodal fusion of human ear images. Platform: |
Size: 295936 |
Author:王近两 |
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