基于DSP的手写数字识别系统.介绍了基于TMS320VC5402的手写数字识别系统和该系统的基本原理，给出了它的硬件原理图和软件设计程序框图。最后描述了所用的识别算法和改进的训练算法-DSP-based digital handwriting recognition system. Based on the number of handwritten TMS320VC5402 character recognition system and the systems basic principle, it is a schematic diagram of the hardware and software design process diagram. Finally describes the use of algorithms and improved training algorithm 下载
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原创，手写汉字识别，里面有README，帮助别人使用和阅读。-original, handwritten character recognition, and they README help others to use and read. 下载
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一个车牌号码识别的代码，本人正在做毕业设计 此程序原吗是在本站上下载的，并且对此作了写改，提高的检测质量，光线不足的情况下还是不能正确识别的，希望高手能多指教！ eureka-a registration number identification code, I was doing graduate design procedure in the original? Download site, and this change was made to improve the detection quality, inadequate lighting situation could not correctly identify, hope more experts can improve! Bandit 下载
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印章识别 实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像” 用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数 字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。 -seal identification experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. 下载
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联机字符识别 实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像” 用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数 字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。 -online character recognition experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. 下载
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作者真实上串。此作品能够识别“0”，“1”，“2”，“3”，“4”，“5”，“6”，“7”，“8”， “9”，“+”，“-”，“*”，“/”，“（”，“）” （以上所列出的识别符号是指手写体，用鼠标书写，不分书写次序）所组成的算式，并计算出结果，可以用分数表示，由智能语言发声来读出算式和结果，如果书写有错，能够提示出错位置及错误原因，并由语音系统读出，给出你参考的书写格式。-author on the real strings. This works to identify "0" and "1" and "2", "3" and "4" and "5" and "6", "7", "8" and "9", "","-","*","/","(", ")" (shown above the identifier is handwritten, with the mouse writing, regardless of the order written) by a formula and calculated results can be expressed in points, Intelligent audible language by reading out formula and the results, if the writing is wrong, wrong to suggest location and the wrong reasons, by voice read out the information you are given written format. 下载
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常用搜索算法 光盘上包括了书上提供的例程及算法，均可在Visual C++ 6.0下编译通过。 读者可参照书籍了解程序的使用。 实验素材里面提供了一些模式识别实验用的数据库。其中“数字和字母图像” 用于脱机字符识别里的模板匹配法，USPS字库用语Fisher线性判定识别手写数 字。由于一些原因，有些数据库不能提供，需要读者自己采集样本。 -search algorithm commonly used on the CD, including a book on the routines and algorithms, may, in Visual C 6.0 compile. Readers are referred to the book to understand the procedure used. Experimental materials inside provided some experimental pattern recognition database. These "numbers and letters images" Offline Character Recognition for The template matching, USPS font terminology Fisher Linear found handwritten identification numbers. For some reason, some of the databases not provided their readers need to collect samples. 下载
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10。《用于最优化的计算智能》，Nirwan Ansali，Edwin Hou着，李军，边肇棋译 清华大学出版社 1999年第一版 本书从讨论组合优化中的基本问题——NP问题入手，系统地讲述了近年来所发展起来的智能最优化的各种技术和方法，其中包括启发式搜索、Hopfield神经网络、模拟退火和随机机、均场退火以及遗传算法等；并在此基础上，通过一些典型的应用问题，如旅行商问题、模式识别中的点模式匹配问题、通信和任务调度等问题进一步阐明以上一些基本方法怎样用来解决这些原来具有NP性质的困难问题。本书是作者在美国新泽西州理工学院多年讲授有关课程的基础上写成的。全书深入浅出，理论联系实际。为帮助学生掌握基本概念，提高学习能动性，各章编写了习题。本书可作为通信、计算机、控制各专业的高年级学生和研究生学习有关课程的教材。它对于广大科研工作者也是一本很有实际价值的参考书。 -10. "Optimal for Computational Intelligence," Nirwan Ansali, with Edwin Hou, Li Jun, Pin Zhaoxing chess translation Tsinghua University Press in 1999 the first book version of combinatorial optimization from the discussion of basic questions -- NP problem start, the system described in recent years to develop the intelligent optimization of the technology and methods, These include heuristic search, Hopfield networks, simulated annealing and random machine, mean field annealing and genetic algorithms; and on this basis and through some typical applications, such as the traveling salesman problem, pattern recognition of point pattern matching, communication and task scheduling and other issues to further clarify some of these basic methods how to solve these with the original natu 下载
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