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基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an
important preprocessing stage in ma
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Recognition (M-ALPR) using Hybrid Fuzzy
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tesseract-2.04,google开源图像识别源码，对于规则无杂的很多种语言都有很高的识别能力-tesseract-2.04, google image recognition source code open source, for the very rules of non-hybrid has a high recognition in multiple languages
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pdf for fingerprint from ieee include:
PIPELINED MINUTIAE EXTRACTION FROM FINGERPRINT IMAGES
A Novel Principal Component Analysis Neural Network Algorithm for Fingerprint Recognition
in Online Examination System
Processing of Distorted Finger
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This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
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Visual C++与Matlab混合编程实现语音识别-Visual C++ and Matlab programming hybrid speech recognition
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In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. With the weights of the trained neural networks there are created kernel window
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A Speech Recognition System based on a Hybrid HMM/SVM Architecture.A good paper on hybrid model of speech recgnition
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一种用于说话人性别鉴定的混合算法，本文论述了多种方法实现说话人性别识别，可供研究语音的学者学习。-A used in speaker sex identification of the hybrid algorithm, this paper discusses multiple methods achieve gender recognition to the scholars, available for study pronunciation study.
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this Program utilized a new method
for generation codebook in Hidden Markov
Models (HMM). Hybrid HMM and neural
networks have been applied to improve
recognition in speech processing. -this Program utilized a new method
for generation
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This book aims to bring together selected recent advances, applications, and new ideas in
character recognition. It covers various methods such as image processing, feature extraction,
classification, hybrid approach, evaluation, new applications
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Hybrid Iris Recognition
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人脸识别的完整代码。能进行主成份分析，混合主成份分析,线性判别分析，弹性图像匹配算法等。-Complete code for face recognition. Principal component analysis, the hybrid principal component analysis, linear discriminant analysis, elastic image matching algorithm.
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A Hybrid GMM-SVM System for text independent speaker Recognition Sytem
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针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一
种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代
后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法
收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
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它是混合核函数方面的，对于分类的研究有很好的帮助的作用。而且是关于人脸识别的。-It is a hybrid kernel function aspects of the study of the role of classification good help. And about face recognition.
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基于Gabor特征和字典学习的高斯混合稀疏表示图像识别-Image recognition based on Gabor features and dictionary learning of Gauss hybrid sparse representation
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Speech Recognition with Support Vector Machines in a Hybrid Syste
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A Hybrid SVM/HMM Acoustic Modeling Approach to Automatic Speech Recognition
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用java实现混合高斯模型，做特征分类，模式识别等应用(The hybrid Gauss model is implemented by Java, and the feature classification and pattern recognition are performed)
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