搜索资源列表
recognizer.rar
- 验证码识别与反识别 论文内容(1)、介绍了验证码发展的过程，按验证码上加的干扰不同，将验证码做了归类。 (2)、选取了一些比较有代表性的验证码做了识别的试验，介绍了添加纹理的验证码去除纹理的方法，根据试验的结果，论证了现有验证码不能很有效的保证系统的安全。同时分析了验证码在方便用户使用上的不足。 (3)、提出了两种新的验证码，新的验证码可以有效的防止系统被攻击，具有一定的推广价值,Code recognition and identification papers against the co
Eyesegmentation
- 睫毛最优阈值化处理之后用基于连通域搜索的方法进行噪声点删除，主要用到函数bwareaopen，代码包含在jiemao.m文件中。-Optimal threshold eyelashes after treatment with the method based on connected local search to remove the noise points, mainly used in the function bwareaopen, the code contained in the
ReadPic
- 一款简单的验证码识别工具，在初始化状态下可以进行图片的分割、学习，获取字符的特征码，并保存到INI文件中，当学习足够多图片后就能准确地识别同类型的验证码。 本程序主在提供一种分析的思路方法，如何对验证码进行分割、过滤、规格化，去除杂点是识别的关键部分，每步过程都呈现在界面上。-A simple verification code recognition tools, in the initialization state, the picture can be split, study, a
Study.on.License.Plate.Segmentation.Based.on.Color
- 智能运输系统中车牌识别技术得到了广泛应用 , 车牌分割是车牌识别的重要部分。基于彩色图像车牌分割与采用灰度图像车牌分割相比 , 可以有效消除阴影影响 , 同时车牌颜色也是车牌识别的一个参数。颜色分类处理使用特征函数 , 可以减少颜色坐标转换运算 , 提高颜色分类速度。文中详细讨论中国车牌特征 , 给出车牌分割详细步骤。车牌 区域判别采用信息融合技术。车牌倾斜矫正结合车牌倾斜特点 , 提出快速算法。-Intelligent Transport System in the license pla
learcode
- Image carving for image. A new technique shows resizing of images while keeping the important features of the image undistorted, also allows you to protect or remove part.
gaborfilter
- gabor 滤波器 用奇域边界检测法。再用canny 算子进行边缘检测。能很好的去除图像的伪边缘-gabor filters edge detection method by Qi Yu. Then canny edge detection operator. Well remove the image of the pseudo-edge
noise
- 去除影像雜訊,將一份帶有文字的影像處理成2元的黑白圖-Remove image noise, a copy of the image processing with text in black and white diagram into a 2 yuan
RecognitionofOffLineHandwrittenArabicWordsUsingHi
- Hidden Markov Models (HMM) have been used with some success in recognizing printed Arabic words. In this paper, a complete scheme for totally unconstrained Arabic handwritten word recognition based on a Model discriminant HMM is presented. A
renlian
- 人脸识别 能添加删除人脸 能搜索库 可运行 带说明文件-Face recognition can be added to remove the face can search the library can be run with the documentation
[7---2002]-Solving-the-small-sample-size-problem-
- The small sample size problem is often encountered in pattern recognition. It results in the singularity of the within-class scatter matrix S,? in Linear Discriminant Analysis (LDA). Dijjrent methods have been proposed la solve this problem in face
ImageEdgeDetection
- 图象边缘检测 能够去除大部分噪声 效果还行啊-The image edge detection can remove most of the noise effect was okay.
Cloud_Detection-based-on-threshold
- 基于阈值的遥感图像云区检测方法，可直接运行，可去除孤立点的影响-Remote sensing image area detection threshold-based cloud can be directly run, you can remove the effects of isolated points
eclipse_workspace
- 图片去除干扰线，自动学习，网络神经自动训练功能-Picture remove interference lines, automatic learning, neural network training function automatically. . .
anhangfenge
- 在二值化图像基础上，基于空行进行分割，去掉行高太小的区域,对分割出的每一行文字，去掉前后多余的空白部分-Each line of text in the binary image based, based on the blank line segmentation, remove the row height is too small area, the segmented and removed before and after extra blank part of the
remove_watermark
- Remove Watermark in C++ with OpenCV