Description: sdfa Open OCR (oocr) is a character recognition program used for automatic scanning of documents and forms. oocr is based on the idea of automatic form/document reading, which can create a batch process in recognizing areas of interest for forms or automatically scan entire documents and scanned images for character recognition. oocr is written in C on Windows (win32) libraries. All of the source code to the program is made available under the GNU General Public License (GPL) _________________________________________________________ History July 25,2004 : 2nd Release [NOT to be intended as a stable working release] Added: Program Icon Started: Image Processing for background detection Started: Bound Box reduction/fitting for standard scanning July 16,2004 : Initial Release [NOT to be intended as a stable working release] Platform: |
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Author:苏打发 |
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Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.-GSNAKE API provides tools for contour mode ling, extraction, detection and classification, based on generalized active contour model (g-s nake). GSNAKE consists of a set of objects built in C, suitable for use in the area of feature extracti on, character recognition, motion analysis and etc.. Platform: |
Size: 1830912 |
Author:妙飞 |
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Description: 根据用户定义char型字符分割字符串，以char型字符为分割符，或是检测括号的配对情况。-under the user-defined type character segmentation char string, char type characters to separate website, or detection of the matching brackets. Platform: |
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Author:零度 |
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Description: 文章介绍了利用车牌的纹理特征和区域形状特征检测车牌区域情况。为提高区域检
测的正确性, 利用新的改进的主动轮廓模型, 利用先验知识确定精确的车牌边界。在精确的车牌区
域中切割出车牌中的单个字符, 最后利用支持矢量机对字符进行分类识别。
汤志勇 杨晨晖 王炳波
(厦门大学 厦门361005)-article describes the use of the plates texture characteristics and the shape feature detection plates regional situations. To improve the accuracy of detection region, the use of new initiatives to improve the contour model, the use of a priori knowledge to determine the exact license plate boundary. The exact number plates region cut out plates of a single character, the final use of support vector machines for character recognition and classification. Tang Zhiyong Yang Chen-hui Wangbingbei (Xiamen University, Xiamen 361005) Platform: |
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Author:adnsid |
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Description: 基于Canny边缘检测的车牌字符分割方法，方法简单明了，实验效果不错-Canny edge detection based on the license plate characters segmentation method, the method is simple to understand, experiment results good Platform: |
Size: 168960 |
Author:lizhirong |
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Description: 细化算法，细化的目的是提取出连通区域的骨架。该算法在文字识别、指纹检测等应用中有着重要作用-Thinning algorithm, thinning is designed to extract the skeleton of regional connectivity. The algorithm in the character recognition, fingerprint detection and other applications play an important role in Platform: |
Size: 312320 |
Author:WSZH |
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Description: 使用prewitt算子和sobel算子分别在垂直和水平方向进行检测，生成4幅分割图像-Using sobel operator and Prewitt operator, respectively, in the vertical and horizontal direction detection, image segmentation to generate 4 Platform: |
Size: 3072 |
Author:萧然 |
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Description: 内含《基于TMS320DM642的车牌识别系统》、《车牌字符识别技术研究》、《车牌识别系统设计与DSP实现》、《基于数字图像处理技术的车牌自动检测与分割算法研究》、《基于数字图像处理技术的车牌识别算法研究》等五篇关于车牌识别的硕士论文！供参考！-Intron TMS320DM642-based license plate recognition system, license plate character recognition technology research, License Plate Recognition System Design and DSP to achieve, based on digital image processing technology, automatic license plate detection and segmentation algorithm research, Based on digital image processing technology License Plate Recognition Algorithm , such as License Plate Recognition on the five master s thesis! For reference! Platform: |
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Author:wivy |
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Description: 车辆牌照识别技术是公安执法系统、高速公路自动收费系统、城市道路监控系统等诸多智能交通应
用管理系统中的重要一环。它可应用于交通流量检测，交通控制与诱导.不停车自动收费及违章车辆监
控等领域，具有广阔的前景。而车牌的定位分割，及车牌分割后的字符分割则是车辆牌照识别技术中十
分重要的组成部分，本文对乍牌及其字符分割的方法进行了相关的探讨和研究。
-Vehicle license plate recognition technology is the law enforcement system, automatic highway toll collection system, urban road monitoring system, and application of intelligent traffic management system for an important element. It can be applied to traffic detection, traffic control and induced. Do not stop automatically charges and regulations in areas such as vehicle monitoring, will have broad prospects. The positioning of partition plates, and after the partition plate character segmentation is the vehicle license plate recognition technology in a very important component of the paper Platform: |
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Author:galilio |
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Description: 介绍图像中字符区域检测算法的研究：图像中的文字信息在一定程度上反映了图像主要内容，因此对于图像中的文字进行检测是非常有意义的。本文采用了基于字符的纹理特征的方法，在D C T 域中对字符进行检测，从而将图像中的字符区域检测出来，最后用matlab进行了验证，实验表明该方法能够取得较好结果。-Introduction character image region detection algorithm research: images of a text message to some extent, reflect the main content of the image, so the text in the image test is very meaningful. In this paper, a character-based method of texture features, in the DCT domain detection of the characters, so characters in the image region detected, and finally use matlab to verify the experiment shows that the method can achieve better results. Platform: |
Size: 462848 |
Author:alsocc |
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Description: Visual C++写的车牌自动识别系统（只完成到车牌定位提取一步，字符的识别没有完成，大家有兴趣可以自己完成），功能包括前期图像处理的各种操作，支持各种颜色的bmp图片，二值化、边缘检测、滤波、平滑、直方图处理等等，测试图片也打包进源码了-Visual C++ Written Automatic Vehicle Identification System (only one step to extract license plate location, character identification is not complete, we are interested in can be completed), features include a variety of pre-image processing operation, to support a variety of colors The bmp images, binarization, edge detection, filtering, smoothing, histogram processing, etc., test images are also packaged into the source of the Platform: |
Size: 1909760 |
Author:wuyiliang |
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Description: GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, suitable for use in the area of feature extraction, character recognition, motion analysis and etc.
-GSNAKE API provides tools for contour modeling, extraction, detection and classification, based on generalized active contour model (g-snake). GSNAKE consists of a set of objects built in C++, Suitable for use in the area of feature extraction, character recognition, motion analysis and etc. Platform: |
Size: 2981888 |
Author:wzq |
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Description: 基于Canny边缘检测的车牌字符分割方法--- 论文，对模式识别的朋友会有很大帮助，拿来与大家分享，希望能够用的上！-Canny edge detection based on the license plate character segmentation method--- papers on pattern recognition would be of considerable help of friends, used to share with you, hoping to use the! Platform: |
Size: 396288 |
Author:meng fanrong |
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Description: Opencv检测人脸,可以批量对某一个文件夹中(路径名不要有中文)所有文件操作,并将检测后的人脸抠出来保存到项目本地文件夹下.使用vc2005完成.-Face Detection with Opencv, you can bulk on a folder and detect the face of all files in this folder(the path should not have Chinese character) And after the Detection the system will save all the face area to the local folder the same with the project.Tool:vc2005 Platform: |
Size: 95232 |
Author:Rongbin |
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Description: VBScript判断字串的代码，包括
1.字串长度的检测
2.逐个字符的判断
3.判断整个字符串是否只是含有字母和数字
-VBScript code to determine the string, including 1. String length detection 2. The judge-by-character 3. To determine whether the entire string containing only letters and numbers Platform: |
Size: 2048 |
Author:lucy |
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Description: 图片中字符识别，还不错，网上下的，边缘检测，字母，数字，符号识别-The picture character recognition, but also good under line, edge detection, letters, numbers, symbols identify the Platform: |
Size: 15798272 |
Author:LYC |
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Description: 心电信号在线数据知识化辅助诊断算法研究
摘 要:针对心电监护与诊断过程中数据量大、准确性和快速性要求高的特点,提出了一套基于数据知识化的心电
辅助诊断算法.该套算法包括数据识别、冗余处理、转换和提取过程,利用小波变换的多分辨率和抗干扰能力好的
特点,检测QRS波、P波、T波,提高了特征检测的准确性 利用聚类分析具有较好的鲁棒性和适合于大数据量分析
的特点,对QRS进行波形分类 算法结合了单独一搏诊断和串诊断以及多参数综合分析.采用MIT-BIH标准心电
数据库中的部分数据和心电专家确诊的心律失常数据文件对该算法进行了评估,检出率都在95 以上,表明该套
算法对部分心律失常可以进行有效分析.
-A series of data knowledge discovery based electrocardiograph (ECG) auxiliary diagnosis algo-
rithms were presented against the characteristics of huge data quantum, high accuracy and rapidity de-
mands in the ECG monitor and diagnosis process. The algorithm consists of several stages, including data
distinguishing, data redundant processing, data conversion and data extraction. The characteristics of
wavelet transform, multiresolution and high anti-interference, were used to detect QRS, P and T waves
and improve the accuracy of character detection. Clustering analysis characterized by better robustness and
capability to analyze huge data quantum was used to classify QRS wave. The algorithm combines diagnosis
based on one beat, string diagnosis and comprehensive analysis with multiparameters. Verified by partial
data of MIT-BIH standard ECG database and arrhythmia data files diagnosed by ECG experts, the detect-
ability exceeded 95 , which showed that the algorithm could analy Platform: |
Size: 68608 |
Author:Shi |
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Search - character detection