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Description: 生物特征的自动识别技术得到广泛研究与开发，如指纹识别、掌形识别等。人脸识别是基于脸像的身份鉴别，-Automatic biometric identification technology is widely research and development, such as fingerprint recognition, hand geometry identification. Face recognition is based on the identity of the face such as identification,
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Size: 19456 |
Author: 王帅 |
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Description: Good paper on Hand Geometry and palm print
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Size: 342016 |
Author: Mane Arjun V |
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Description: hand geometry based biomtric
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Size: 2555904 |
Author: jiji |
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Description: Hand geometry recognition technology is in broad use for access control as well as time and attendance applications. An individual places their hand on a reader, and their identity is verified based upon the location of a number of key points on their hand.
Traditional hand geometry system always uses pegs to fix the placement of the hand. Two main weaknesses of using pegs are that pegs will definitely deform the shape of the hand silhouette and users might place their hands incorrectly.
We have developed a fast and optimized algorithm for hand geometry recognition based on Neural Networks. Proposed approach does not require any particular hardware since extracted features are computed without assuming any fixed hand positioning and also a low-cost webcam can be used for image acquisition.
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Size: 351232 |
Author: prash |
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Description: Hand geometry application and detection
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Size: 1569792 |
Author: fouad |
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Description: 本文介绍了，生物概念以及生物识别几大类：指纹识别、手掌几何识别、视网膜识别、声音识别、静脉识别、步态识别。-This article describes the biological concept and biometric categories: fingerprint recognition, hand geometry recognition, retina recognition, voice recognition, vein recognition, gait recognition.
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Size: 122880 |
Author: 谭海波 |
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Description: Design, implementation and uation of an unconstrained and contactless biometric system based on hand geometry and stress detection(1)-Design, implementation and uation of an unconstrained and contactless biometric system based on hand geometry and stress detection(1)
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Size: 5791744 |
Author: li |
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Description: In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.-In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflect the individual’s unique movement pattern. Human gait is an attractive modality for recognizing people at a distance. Compared to other biometrics, gait has some unique characteristics. The most attractive feature of gait as a biometric trait is its unobtrusiveness, i.e., the fact that, unlike other biometrics, it can be captured at a distance and without requiring the prior consent of the observed subject. Most other biometrics such as finger prints, face, hand geometry, iris, voice, and signature can be captured only by physical contact or at a close distance the recording probe.
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Size: 556032 |
Author: anurag |
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