Description: 这个手写数字识别系统是基于模板匹配法建立的。它是我买的图书的光盘上的。-the handwriting recognition system figures are based on template matching method to establish. It is the books I buy on a CD-ROM. Platform: |
Size: 113664 |
Author:李蕙 |
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Description: 一个手写体识别的代码，包括训练和测试的数据库-A handwriting recognition code, including the training and testing database Platform: |
Size: 8175616 |
Author:张正 |
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Description: 用神经网络，实现手写数字0-9的识别，对于相似度小的拒绝识别-Using neural networks, implementation figure 0-9 handwriting recognition, the similarity of small refuse recognition Platform: |
Size: 210944 |
Author:wu song lin |
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Description: 这个是准备做笔迹识别用的程序，很齐全哦~~想做gabor 再用kpca，最后用欧氏距离-Prepared to do this is to use handwriting recognition process, it is complete Oh ~ ~ gabor want to reuse kpca, the last with Euclidean distance Platform: |
Size: 2048 |
Author:zhouqin |
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Description: 一个用matlab编写的手写体识别程序，可以直接在matlab7.0下运行-Prepared to use matlab a handwriting recognition program ，which can be run directly in matlab7.0 Platform: |
Size: 640000 |
Author:杨震 |
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Description: 手写体识别系统EXE可以调试，字母识别，VCC使用，本人谢谢了-EXE handwriting recognition system can debug, letter recognition, VCC to use, I thank the Platform: |
Size: 338944 |
Author:大方 |
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Description: uci机器学习数据库关于字符识别的源数据。是字符识别的研究的关键数据来源。包括手写字体和印刷体两类，手写的数字和印刷体的字母。-uci machine learning database on the source character recognition data. Character recognition research is the key source of data. Including two types of handwriting fonts, and print, handwritten numbers and letters in print. Platform: |
Size: 875520 |
Author:许翔 |
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Description: 手写分类识别，是个很好的程序，希望大家能用上-Handwriting classification and recognition, is a very good program, hope everyone can be on the Platform: |
Size: 8192 |
Author:王可 |
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Description: 采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies Platform: |
Size: 105472 |
Author:caoliang |
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