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Matlab binary digits for handwritten character recognition
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本软件在vc++环境下利用神经网络算法对手写数字进行识别-The software in vc++ environment using the neural network algorithm to handwritten digits recognition
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Davies , K.H., Biddulph, R. and Balashek, S. (1952) Automatic Speech Recognition of Spoken Digits, J. Acoust. Soc. Am. 24(6) pp.637 - 642
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The paper describes a gesture recognition algorithm
which can effectively recognize single-hand gestures in real
time under complex environment. The system involves a
vocabulary of 20 gestures consisted by part of Chinese sign
language letter
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ocr源码，实现对26个字母和10个数字的识别-ocr source code to achieve the recognition of 26 letters and 10 digits
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介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.
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This paper describes an approach of isolated speech recognition by using the Mel-Scale Frequency
Cepstral Coefficients (MFCC) and Dynamic Time Warping (DTW). Several features are extracted speech signal
of spoken words. An experimental of total f
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An automatic speech recognition system for Digits in Malayalam Language is implemented using MFCC and GMM.
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