Description: 这是一个基于颜色特征的物体识别程序，包括上位机源代码、下位机源代码和非常详细的说明文党。该程序上位机用Java写成，在windows/UNIX/Linux等系统下均可以编译和运行，而下位机代码则运行于ATMEL公司出品的AVR系列ATMega单片机，采用avr-gcc编译。该程序可以同时识别10个不同颜色不同形状的物体，达到每秒29帧的处理速度，采用OV6620 CMOS图像传感器。-This is a feature based on the color of the object recognition procedures, including PC source code, Under the plan, and the source code is described in detail in the text Party. The procedure PC using Java languages, in the windows/UNIX/Linux systems can be compiled and run, The next crew is operating in the code and produce the ATMEL AVR Series ATMega microcontroller, using avr- gcc compiler. The procedure can identify 10 different colors of different shapes of objects, 29 per second of processing speed, using OV6620 CMOS image sensor. Platform: |
Size: 632832 |
Author:刘维超 |
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Description: 基于P2P的流媒体分发技术研究的一篇硕士论文-P2P-based distribution of streaming media technology research in a master Platform: |
Size: 5779456 |
Author:leon |
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Description: 图像分割是数字图像处理中的关键技术之一。图像分割是将图像中有意义的特征部分提取出来，其有意义的特征有图像中物体的边缘、区域等，这是进一步进行图像识别、分析和理解的基础。虽然目前已研究出不少边缘提取、区域分割的方法，但还没有一种普遍适用于各种图像的有效方法。因此，对图像分割的研究还在不断深入之中，是目前图像处理中研究的热点之一。-Image segmentation is a digital image processing in one of the key technologies. Image segmentation is the image in a meaningful part of extracted features, and its features meaningful images of objects in the edge, regional and so on, this is further image recognition, analysis and understanding. Although we have also developed a lot of edge extraction, the regional partition, but not yet a generally applicable to a variety of effective means of images. Therefore, image segmentation research also continued to deepen, and image processing is one of the hot research. Platform: |
Size: 320512 |
Author:姚鹏飞 |
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Description: 本文论述并设计实现了一个脱机自由手写体数字识别系统。文中首先对待识别数字的预处理进行了介绍，包括二值化、平滑滤波、规范化、细化等图像处理方法；其次，探讨了如何提取数字字符的结构特征和笔划特征，并详细地描述了知识库的构造方法；最后采用了以知识库为基础的模板匹配识别方法,并以MATLAB作为编程工具实现了具有友好的图形用户界面的自由手写体数字识别系统。实验结果表明，本方法具有较高的识别率，并具有较好的抗噪性能。-In this paper, and design implementation of a freely Offline handwritten numeral recognition system. First, identify the figure of the pre-processing treatment were introduced, including binarization, smoothing filtering, standardization, refinement, such as image processing method Secondly, to explore how to extract the structural features of characters and stroke characteristics, and described in detail Knowledge of the construction method Finally the use of a Knowledge-based template matching to identify methods and MATLAB as a programming tool to achieve with a friendly graphical user interface of freely handwritten numeral recognition system. The experimental results show that this method has higher recognition rate, and has better anti-noise performance. Platform: |
Size: 349184 |
Author:kongchao |
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Description: 本程序以车牌识别为例演示了如何用Java进行图像识别，适合对Java和图像处理有一定基础的爱好者学习。-License Plate Recognition of this procedure as an example to demonstrate how to use Java for image recognition, suitable for Java and image processing must have basic study of the lovers. Platform: |
Size: 22528 |
Author:沈健 |
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Description: 图片文字识别，OcrModule.java 为接口
OcrTest.java是例子
java运行参数中要把libocr.dll所在路径添加参数-Djava.library.path中-Image Character Recognition, OcrModule.java example for the java interface is OcrTest.java operating parameters in the path where the libocr.dll to add parameters in-Djava.library.path Platform: |
Size: 188416 |
Author:L.G |
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Description: 人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also has a relatively wide range of applications meaning. Face recognition technology is a very active area of research, which covers digital image processing, pattern recognition, computer vision, neural networks, psychology, physiology, mathematics and many other subjects content. Today, although research in this area have been some encouraging results Platform: |
Size: 4096 |
Author:ldj |
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Description: This a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex. -This is a software utility. It provides auto attendance management system using face detection technique. Now a day’s many utilities provide face detection system but not intelligent. Our project is more intelligent, cost less and very easy to configure anywhere.
Human face detection is the most important process in applications such as video surveillance, human computer interface, face recognition, and image database management. Face detection algorithms have primary factors that decrease a detection ratio : variation by lighting effect, location and rotation, distance of object, complex background. Due to variations in illumination, background, visual angle and facial expressions, the problem of machine face detection is complex.
Platform: |
Size: 2751488 |
Author:minu |
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Description: SVM 在JAVA中的运用，简单的DEMO测试，用于做图像识别分析。支援向量机源码调用实例里面有测试资料供简单测试。-The use of SVM in JAVA, simple DEMO test, used to make image recognition analysis. Support vector machine called an instance of source test data for which there is a simple test. Platform: |
Size: 134144 |
Author:lion |
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Description: 在现代社会商品流通中,为了提高工作效率,条码识别技术得到了广泛的应用。一维条码受到容量的限制,仅能标识商品,而不能描述商品。二维条码解决了一维条码面临的容量问题,具有信息量大、可靠性高、保密防伪等优点。文
中介绍了QR Code 二维条形码的技术,给出了基于数字图像处理的QR Code 二维条形码的识别方案。-Circulation of commodities in modern society, in order to improve efficiency, bar code recognition technology has been widely used. One-dimensional bar code by the capacity constraints, can only identify the product, and can not describe the goods. Two-dimensional bar code to solve the one-dimensional bar code is facing capacity problems, with a large amount of information, high reliability, confidentiality, security and so on. This paper introduces two-dimensional QR Code bar code technology, based on digital image processing gives the QR Code two-dimensional bar code identification scheme. Platform: |
Size: 385024 |
Author:吴贤龙 |
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Description: 在Android平台上使用ASIFT算法实现图像识别，ASIFT算法在NDK中实现-ASIFT the Android platform using the image recognition algorithm, ASIFT algorithm implemented in the NDK Platform: |
Size: 1019904 |
Author:张国威 |
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Description: 一个Java实现的基于内容的图像检索工具包，可用来提取图像的颜色特征、纹理特征（Gabor Filter）以及形状特征，并在此基础上判断图像相关性。-Java implementation of a content-based image retrieval toolkit, which can be used to extract the image' s color features, texture features (Gabor Filter), and shape features, and on this basis to determine the image correlation. Platform: |
Size: 41984 |
Author:杜可 |
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Description: 数字图像识别系统，将条形码中的数字提取并识别出来，Java语言描述-Digital image recognition systems, bar code numbers in extracted and identified, Java language to describe Platform: |
Size: 5444608 |
Author:张程 |
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Description: Description:
A Java/.NET GUI frontend for Tesseract OCR engine. Supports optical character recognition for Vietnamese and other languages supported by Tesseract.
VietOCR is released and distributed under the Apache License, v2.0.
Features:
Multi-platform (Java version only)
Windows
Solaris
Linux/Unix
Mac OS X
Others
PDF, TIFF, JPEG, GIF, PNG, BMP image formats
Multi-page TIFF images
Screenshots
Selection box
File drag-and-drop
Paste image from clipboard
Postprocessing for Vietnamese to boost accuracy rate
Vietnamese input methods
Localized user interface
Integrated scanning support (on Windows only)
Watch folder monitor for support of batch processing
Custom text replacement in postprocessing
Spellcheck with Hunspell
Support for downloading and installing language data packs and appropriate spell dictionaries
Bravenet Counter Stats-Description:
A Java/.NET GUI frontend for Tesseract OCR engine. Supports optical character recognition for Vietnamese and other languages supported by Tesseract.
VietOCR is released and distributed under the Apache License, v2.0.
Features:
Multi-platform (Java version only)
Windows
Solaris
Linux/Unix
Mac OS X
Others
PDF, TIFF, JPEG, GIF, PNG, BMP image formats
Multi-page TIFF images
Screenshots
Selection box
File drag-and-drop
Paste image from clipboard
Postprocessing for Vietnamese to boost accuracy rate
Vietnamese input methods
Localized user interface
Integrated scanning support (on Windows only)
Watch folder monitor for support of batch processing
Custom text replacement in postprocessing
Spellcheck with Hunspell
Support for downloading and installing language data packs and appropriate spell dictionaries
Bravenet Counter Stats Platform: |
Size: 7952384 |
Author:BoinK |
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Description: Since the time I’ve wrote my first article about motion detection, I’ve got a lot of e-mails from different people around the world, who found the article quite useful and found a lot of applications of the code in many different areas. Those areas included simple video surveillance topics to quite impressive applications, like laser gesture recognition, detecting comets with telescope, detecting humming-birds and making camera shots of them, controlling water cannons, and many others Platform: |
Size: 15360 |
Author:hehe |
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Description: 文字识别，用java写的语言，可以实现图像文字分割-Character recognition, written in java language, can achieve image text segmentation Platform: |
Size: 21504 |
Author:Sarah Li |
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Description: javacv小demo，使用javacv0.8版本进行的一个demo测试(/*
* FaceRecognition.java
*
* This file is a translation from the OpenCV example http://www.shervinemami.info/faceRecognition.html, ported
* to Java using the JavaCV library. Notable changes are the addition of the Java Logging framework and the
* installation of image files in a data directory child of the working directory. Some of the code has
* been expanded to make debugging easier. Expected results are 100% recognition of the lower3.txt test
* image index set against the all10.txt training image index set. See http://en.wikipedia.org/wiki/Eigenface
* for a technical explanation of the algorithm.
*
* stephenreed@yahoo.com
*
* FaceRecognition is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free
*/) Platform: |
Size: 3072 |
Author:Meteor冷瞳
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Search - image recognition in java