Description:
This a thesis paper on iris recognition. it will be very helpful in guyz who are doin projects on biometric authentication-
This is a thesis paper on iris recognition. it will be very helpful in guyz who are doin projects on biometric authentication Platform: |
Size: 1758208 |
Author:Shaheer |
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Description: 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. Biological characteristics as a result of the inherent human attribute, has a strong individual differences in their stability and, therefore, is based on authentication of the best Sichuan. Among them, the characteristics of human face authentication is the most natural and direct means, and fingerprint, iris, palm prints and other biometric identification system, the human body as compared to face recognition system more friendly, convenient and easy for users to accept, there are broad fields of application. Platform: |
Size: 446464 |
Author:付采 |
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Description: 这个是虹膜识别系统,实现身份认证,在目前这还是一个十分先进的识别系统.-This is iris recognition system for authentication, in the present this is a very advanced identification system. Platform: |
Size: 405504 |
Author:向南 |
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Description: 在虹膜识别系统中，质量较差的虹膜图像可能被系统拒识，导致身份识别或身份认证的失败。-In the iris recognition system, low-quality iris image rejection may be the system, leading to identification or authentication failure. Platform: |
Size: 190464 |
Author:ZT |
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Description: Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irides of an individual s eyes. Platform: |
Size: 66560 |
Author:shivani |
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Description: 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 format ANSI-385 iris (retina) ANSI-379 do biometric authentication Platform: |
Size: 192512 |
Author:skertone |
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Description: Iris Recognition is a rapidly expanding method of biometric authentication that uses
pattern-recognition techniques on images of irides to uniquely identify an individual.
Algorithms produced by Professor John Daugman [1] have proven to be increasingly accurate
and reliable after over 200 billion comparisons [2]. The aim of this group project
is to implement a working prototype of the techniques and methods used for iris recognition,
and to test these methods on a database of irides provided by the Chinese Academy
of Sciences Institute of Automation (CASIA) [3], which consists of 756 images of irides
from 108 individuals-Iris Recognition is a rapidly expanding method of biometric authentication that uses
pattern-recognition techniques on images of irides to uniquely identify an individual.
Algorithms produced by Professor John Daugman [1] have proven to be increasingly accurate
and reliable after over 200 billion comparisons [2]. The aim of this group project
is to implement a working prototype of the techniques and methods used for iris recognition,
and to test these methods on a database of irides provided by the Chinese Academy
of Sciences Institute of Automation (CASIA) [3], which consists of 756 images of irides
from 108 individuals Platform: |
Size: 1153024 |
Author:Mohammad |
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Description: A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.-A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result. Platform: |
Size: 641024 |
Author:tuan |
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Description: 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 signals are the signature of neural activities. It has several advantages, such as (i) it is confidential as it corresponds to a mental task, (ii) it is very difficult to mimic and (iii) it is almost impossible to steal as the brain activity is sensitive to the stress and the mood of the person, an aggressor cannot force the person to reproduce his/her mental pass-phrase. In this report the feasibility of the EEG signals as raw materials for conducting biometric authentication of individuals is investigated. Brain responses are extracted with visual stimulation (leading to biological brain responses known as Visual Evoked Potentials) or while relaxing with the eyes closed. Platform: |
Size: 417792 |
Author:ARUNA RAJAN |
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