Description: 遗传+Gabor人脸/掌纹/指纹/虹膜等识别匹配程序。注意，该程序包含特征提取和匹配识别，但是对输入的图像要求最好是经过定位归一化的。没经过定位归一化的图像，识别效果较差。-Genetic+ Gabor Face/Palmprint/fingerprint/iris recognition, such as matching program. Note that the program contains the feature extraction and matching identification, but the input requirements of the best images is normalized positioning. Not normalized, after positioning of images, to identify less effective. Platform: |
Size: 9216 |
Author:曲晓峰 |
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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: 图像识别，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Image recognition, including face recognition and iris recognition, iris position in the digital image of the iris recognition and effective positioning is the key issue. Using a model based on active contour method of positioning the iris position, the first gray projection method used to detect a point within the pupil as a pupil of the pseudo-center of a circle, the center of a circle can be as long as it falls within the pupil. Platform: |
Size: 958464 |
Author:张海 |
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Description: 人脸识别是近年来模式识别、图像处理、机器视
觉、神经网络以及认知科学等领域研究的热点课题之
一。作为生物特征识别的一个重要方面, 人脸识别在
档案管理系统、安全验证系统、信用卡验证、公安系统
的罪犯身份识别、银行和海关的监控、人机交互等领域
具有广阔的应用前景。与指纹识别、视网膜识别、虹膜
识别等技术相比, 人脸识别技术在数据采集方面手续
比较简单, 使用者更容易接受。-Face recognition in recent years, pattern recognition, image processing, machine vision, neural networks, and research in the field of cognitive science, one of the hot topics. As a biological feature recognition is an important aspect, face recognition in the file management systems, security verification systems, credit card verification, security system, criminal identification, banking and customs controls, the areas of human-computer interaction has broad application prospects. And fingerprint recognition, retina identification, iris recognition technology, compared with face recognition technology in the data collection procedure is relatively simple, the user is more receptive. Platform: |
Size: 533504 |
Author:天使 |
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Description: 提供了图像识别，包括人脸识别和虹膜识别，是不可多得的程序-Provides image recognition, including face recognition and iris recognition, is a rare procedure Platform: |
Size: 2319360 |
Author:龙刚 |
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Description: 一个用PCA和LDA降维，并用knn分类的人脸识别例程-A dimension reduction using PCA and LDA, and face recognition with the knn classification routines Platform: |
Size: 4860928 |
Author:taoda |
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Description: Generates the values in a ROC curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.) Platform: |
Size: 1024 |
Author:B |
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Description: 图像识别的MATLAB代码，包括人脸识别和虹膜识别，在数字图像中虹膜位置的有效定位是虹膜识别的关键问题。用一种基于主动轮廓线模型的方法定位虹膜的位置，先用灰度投影法检测出瞳孔内的一点作为瞳孔的伪圆心，该圆心只要能落在瞳孔内部即可。-Matlab source code of image recognition, including face recognition and iris recognition, iris position in the digital image in an effective location is the key problem of iris recognition. With an active contour model based method to locate the position of the iris, the first gray projection method used to detect a point inside the pupil as a pupil of the pseudo-center, the center can be as long as fall within the pupil. Platform: |
Size: 959488 |
Author:gaotengfei |
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Description: 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 characteristics of the efforts and achievements were reviewed. Platform: |
Size: 748544 |
Author:ygliang30 |
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Description: 遗传+Gabor人脸/掌纹/指纹/虹膜等识别匹配程序源码。注意，该程序源码包含特征提取与匹配识别别，但是对输入的图像要求最好是经过定位归一化的。没经过定位归一化的图像，识别效果较差。 可直接使用。
-Genetic+ Gabor Face/Palmprint/fingerprint/iris recognition, such as matching program source. Note that the program source code contains the feature extraction and matching identification, but t
Platform: |
Size: 10240 |
Author: |
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Description: 利用Gabor滤波器进行特征提取，在信号与图像处理领域有着广泛的应用。参考文献“Efficient Computation of Gabor Features”-Gabor fi lter responses are widely and successfully used as general purpose features in many computer vision tasks, such as in texture segmentation, face detection and recognition, and iris recognition. Platform: |
Size: 1024 |
Author:Zhiyuan Wu |
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Description: 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 research in this field is thus required to
determine the feasibility of this biometric. In medical field,
especially in case of accidents and death, where face of patients
cannot be recognized, the use of ear can be helpful. In this
work, yet another method of recognizing people through their
ears is presented. Local Binary Patterns (LBP) is used as
features and the results are compared with that of Principal
Components Analysis (PCA). LBPhas a high discriminative
power, tolerance against globalillumination changes and low
computational load. Experiments were done on the Indian
Institute of Technology (IIT) Delhi ear image database and
results show that LBP yields a recognition rate of 93 while
PCA gives only 85 .-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 research in this field is thus required to
determine the feasibility of this biometric. In medical field,
especially in case of accidents and death, where face of patients
cannot be recognized, the use of ear can be helpful. In this
work, yet another method of recognizing people through their
ears is presented. Local Binary Patterns (LBP) is used as
features and the results are compared with that of Principal
Components Analysis (PCA). LBPhas a high discriminative
power, tolerance against globalillumination changes and low
computational load. Experiments were done on the Indian
Institute of Technology (IIT) Delhi ear image database and
results show that LBP yields a recognition rate of 93 while
PCA gives only 85 . Platform: |
Size: 247808 |
Author:krish |
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Description: Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc.-Vector quantization (VQ) is one of the lossy data compression
techniques[1], [2] and has been used in number of
applications, like pattern recognition [3], speech recognition
and face detection [4], [5], image segmentation [6-9], speech
data compression [10], Content Based Image Retri (CBIR)
[11], [12], Face recognition[13], [14] iris recognition[15],
tumor detection in mammography images [29] etc. Platform: |
Size: 5120 |
Author:noufal |
Hits:
Search - face and iris recognition