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The paper describe Segmentation and Recognition of Handwritten Numeric Chains
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txt文件中数字字符的识别，识别一个文本文件中每行是否含有数字字符-txt files in the digital character recognition, recognition in a text file if it contains numeric characters per line
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Theme: Object recognition using Geometric Properties(area, perimeter,circularity,etc) . In order to obtain the results the project was implemented using C++ and the tool C++Builder. For every geometric feature has been created a method that return a
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车牌识别，从图像中截取车牌，并旋转至水平，最后分隔出字母和数字字符。-License plate recognition, license plate interception from the image and rotated to the horizontal, and finally separating the alpha and numeric characters.
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Numeric Digits recognition using neural network
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基于C++的HALCON图像处理
简单的数字，字符识别
带神经网络图训练-Based C++ of HALCON image processing simple numeric character recognition with neural network diagram Training
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基于keras深度学习框架的手写数字字符识别(Handwritten numeric character recognition based on keras depth learning framework)
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基于PCA和BP网络的手写数字字符的识别(Recognition of handwritten numeric characters based on PCA and BP networks)
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基于python3的利用神经网络进行的手写数字识别程序。(A handwritten numeric recognition program based on python3 based on Neural Network.)
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对于不同的数字字符进行不同的特征点的选取以及对于不同的字符做到精准的识别(The selection of different feature points for different numeric characters and accurate recognition for different characters)
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The two-dimensional barcode / two-dimensional code (2-dimensional bar code) is the symbol information of the black and white images that are distributed in a plane (two-dimensional direction) in a certain geometric pattern. The concept of "0&quo
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