模式识别中线性判别分类器的C++源码，非常容易集成和使用！...

GDI实现 火焰 水纹 效果 的模拟 方法简单实用-GDI realize水纹flame effect simulation method is simple and practical

二维画图程序，包括画直线，圆，多边形，曲线，随手画等，还可以写文本。是图形学很好的演示程序。-2D drawing program, including painting straight lines, circles, polygons, curves, such as finger painting, but also wrote the text. Graphics is a good demonstration program.

触摸屏触摸屏

质量不错的OCR源码。这是国外很有名的开源OCR，研究OCR的同好一定要支持啊。-OCR source good quality. This is a well-known open source abroad OCR, the OCR research enthusiasts must support ah.

c语言作图,可以用来作为C语言开发电脑游戏的一部分程序!极有使用价值.-c graphic language, which can be used as part of the C language development part of the computer games procedures! Very useful.

提示： JPEG压缩分为三个部分： 1.JPEG压缩原理及算法（RGB/YCbCr,DCT/IDCT,量化,Z字型编码,用DPCM对DC/用RLE对AC编码/Huffman编码） 2.JPEG标记格式 3.JPEG图片文件的组织形式（位于SOS后的图像压缩数据是由MCU块怎样排列的，特别是使用了DRI之后） 还有许多细节问题： 1.解码过程中遇到“FF 00”当“FF”处理，否则忽略“FF” 2.进行DCT前YCbCr要减128，进行IDCT前要加128（相当于Y减128，YCbCr不需要加128） 3.每个标记中数据可以不止一个（去掉长度的部分就是一段）-Tip : JPEG compression is divided into three parts : Principles and 1.JPEG compression algorithm (RGB/YCbCr, DCT/IDCT, quantification, Z-shaped coding, using the DPCM DC/AC with RLE encoding/Huffman coding) 2.JPEG tags 3.JPEG Photo paper form (located in the SOS image data is compressed by the MCU to set pieces, particularly after the use of DRI), there are many details : 1. decoding process encountered "FF 00," when the "FF", otherwise overlooked "FF" 2 .DCTYCbCr128IDCT128Y128YCbCr128 3.

supermap制图源代码-The supermap map design source code

图像字符识别matlab源代码，希望能给大家点帮助。-Image Character Recognition Matlab source code, we hope that they will help point.

有dos下的鼠标，windows类模块，用户可以直接调用-a dos under the mouse, windows category module, users can directly call

基于神经网络的文字识别系统 本目录主要包括：文档和两个源代 其中源代码是识别程序的，另一个是矩阵类库的。已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。当然也可以自行用训练样本训练网络，不过要注意训练样本的选择，否则可能识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下训练样本数目尽量多。-Based on neural network character recognition system catalog include: the two source documents and source code generation which is to identify the procedure, and the other is the matrix class library. Has been preserved trained network weights, so the identification procedures used for the first time, you can directly run the Release directory of the executable file, and then on the picture of the test directory to read into the picture, identification. Of course, we can use training samples to train the network, but attention should be paid to training samples, otherwise it may be very low recognition rate. Training sample selection principle is that, as far as possible have representation in the training time not too long a number of cases as many as possible training samples