In this paper, and designed to achieve a free offline handwritten numeral recognition system. First, the identification number of the preconditioning treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the number of character strokes of structural features and characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching method to identify and MATLAB as a programming tool to achieve with a friendly graphical user interface of free handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance

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...............\EludeObstacle(ANN&GA)
...............\.....................\2DMatrix.cpp
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...............\.....................\Aerocraft.cpp
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...............\.....................\FileHandle.cpp
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...............\.....................\GenAlg.cpp
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...............\.....................\MainFrm.cpp
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...............\.....................\NeuralNet.cpp
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...............\.....................\ObstacleMap.txt
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...............\.....................\Prop1.cpp
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...............\.....................\...\EludeObstacle.rc2




...............\.....................\...\星球.bmp
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...............\EludeObstacle.exe
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