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2下载:
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-for image recognition, face recognition and iris recognition, is a rare procedure
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2D PCA IS METHOD USED FOR IRIS AND FACE RECOGNITION AN INTERSETING METHOD
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字符识别、K-L人脸识别、虹膜识别、笔画识别等模式识别的例程和资料。-Character recognition, KL face recognition, iris recognition, stroke recognition, pattern recognition routines and information.
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文字切割,可用于车牌识别提取 二值化图像后处理 效果还行 可是-for image recognition, face recognition and iris recognition, is a rare procedur
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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
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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.)
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生物识别:指纹、人脸、虹膜、头骨及静脉识别是最有应用价值的几个,本代码是静脉识别的C++代码,具有极高的参考价值。-Biometrics: fingerprint, face, iris, skull and intravenous application of recognition is the most a few, the vein identification code is C++ code, with a high reference value.
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(1)Bayes分类
已知N=9, =3,n=2,C=3,问x= 应属于哪一类?
(2)聚类
使用c-均值聚类算法在IRIS数据上进行聚类分析
(3)鉴别分析
在ORL或Yale标准人脸数据库上完成模式识别任务。
用PCA与基于核的PCA(KPCA)方法完成人脸图像的重构与识别试验。-(1) Bayes classification
Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
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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
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