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印章识别算法
- 印章识别算法实例 数字图像处理-chop recognition algorithm examples of digital image processing
figure
- 一个简单的16*16距阵数字识别程序，用的距阵匹配算法-It is a easy program to recognize 16*16 figure matrix and it use with matrix fixed arithmetic.
bp_vc
- 用BP算法实现数字识别功能，可以显示状态变化图-BP algorithm digital identification function can demonstrate that changes in state plans
手写体数字的识别程序
- 运用神经网络 算法所写的手写数字的识别程序-networks using neural network algorithm written in the handwriting digit identification procedures
930-3ff
- 自己做的数字识别的程序，主要是匹配方法，先栽入模版，再栽入所要识别的数字，还附带了矩算法和特征点算法-own digital identification procedures, mainly matching method, the first unknown template, and to identify the unknown by the figures, but also the incidental moments al
DigitRecog
- 用bp实现的数字识别程序，用到了经典的bp算法，可移植到其他应用程序中去-bp achieve with the digital identification procedures, the use of classical bp algorithm can be transplanted to other applications go
off_line_recognition
- 模式识别中的脱机字符识别，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法及细化算法。-pattern recognition of Offline Character Recognition, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification tem
oneline_sign_recognition
- 模式识别中的联机字符识别，包括联机手写数字识别和联机数字、英文字符及汉字识别算法实现源代码-pattern recognition of Character Recognition on-line, including on-line handwriting recognition and on-line digital figures English characters and character recognition algor
OcrCode
- 算法非常好的数字识别程序,近期正在研究这方面,希望能帮助到大家-algorithm very good figures identification procedures, is the recent study, it would be helpful to you
digital_recogonizer
- 神经网络进行手写数字识别： 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值. 带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practi
offline-character-recognise
- 脱机字符识别算法，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法，细化算法 -offline character recognition algorithms, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching
zifushibie
- 包括: 手写数字识别之Fisher线性判别 手写数字识别之模板匹配法 数字识别之神经网络法 细化算法-include : Handwritten identification Fisher Linear Discriminant handwritten digital identification template matching identification number of neural network met
GPNN
- 遗传算法优化小波神经网络MATLAB 神经网络用于数字识别源程序 -genetic algorithm optimization wavelet neural network MATLAB neural network for digital identification of the source
NumRecg
- 这是神经网络中,基于sfom算法的数字识别系统，能够识别0-9共十个数字，并同时给出识别误差！！自己编的！-This is the neural network, sfom algorithm based on the number of identification system 0-9 to identify a total of 10 figures, and also given the recognition error! !
DynSplitNum
- 数字识别源代码,能识别识别手写的数字.其中包括模板匹配等算法.-numeral recognition source code, the ability to recognize handwriting recognition figures. Including template matching algorithm.
20070427105112594
- 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 a
adapterSystemPaper
- 论文标题:自适应模糊系统在手写体数字识别中的应用研究 作者:张镭 作者专业:计算机软件人工智能 导师姓名:黄战 授予学位:硕士 授予单位:暨南大学 授予学位时间:19990501 论文页数:59页 文摘语种:中文文摘 分类号:TP18 TP391.4 关键词:手写体数字 自适应 模糊逻辑 神经网络 模式识别 摘要:该文针对模式识别的特点,构造了适合于模式识别问题的自适应模糊系统,对三种
thin_code_for_handwriting
- 关于数字识别的细化算法，C++源代码。为数字识别提供预处理。-identification number on the refinement algorithm, C source code. Digital identification pretreatment.
offlineRec
- 数字图像识别中的脱机字符识别：手写数字识别之Fisher线性判别、手写数字识别之模板匹配法、数字识别之神经网络法、细化算法。-Digital Image Recognition of Offline Character Recognition : handwritten digital identification Fisher Linear Discriminant. Handwritten identification templa
worddistinguish
- 脱机字符识别算法，包括手写数字识别之Fisher线性判别，手写数字识别之模板匹配法，数字识别之神经网络法，细化算法 -offline character recognition algorithms, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching