Description: This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor classifying algorithm to select the true digit. Database includes handwritten digit examples which are collected from a hundred persons. These digit images converted to binary type before added to the database.-This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing be Huggins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor clas sifying algorithm to select the true digit. Dat abase includes handwritten digit examples whi ch are collected from a hundred persons. These d igit images converted to binary type before add ed to the database. Platform: |
Size: 42182 |
Author:Toby |
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Description: 想要一个简单的文字识别vc源代码，从黑白图像中识别出文字，就是背景是白色，文字是黑色。只需简单识别英文26个大小写字母就够了。 -want a simple character recognition vc source code, from black and white images to identify words, background is white, text is black. A simple identification English 26 case-insensitive enough. Platform: |
Size: 2911 |
Author:心剑 |
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Description: 图片文字识别！可以将图片是的文字转化出来！-Photo Character Recognition! Images can be transformed from the text! Platform: |
Size: 1709678 |
Author:刘晓飞 |
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Description: This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing begins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor classifying algorithm to select the true digit. Database includes handwritten digit examples which are collected from a hundred persons. These digit images converted to binary type before added to the database.-This an digit recognition application. (OCR or ICR application). First you draw a digit in the picturebox. Then the image processing be Huggins and recognize the digit and returns you the result. I used correlation matching algorithm for character recognition and k-neighbor clas sifying algorithm to select the true digit. Dat abase includes handwritten digit examples whi ch are collected from a hundred persons. These d igit images converted to binary type before add ed to the database. Platform: |
Size: 41984 |
Author:Toby |
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Description: 想要一个简单的文字识别vc源代码，从黑白图像中识别出文字，就是背景是白色，文字是黑色。只需简单识别英文26个大小写字母就够了。 -want a simple character recognition vc source code, from black and white images to identify words, background is white, text is black. A simple identification English 26 case-insensitive enough. Platform: |
Size: 3072 |
Author:心剑 |
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Description: 图片文字识别！可以将图片是的文字转化出来！-Photo Character Recognition! Images can be transformed from the text! Platform: |
Size: 1709056 |
Author:刘晓飞 |
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Description: 本文提出了一种新的车辆许可证盘子识别,并在此基础上提出了一种自适应图像分割方法-In this paper, a new algorithm for vehicle license
plate identification is proposed, on the basis of a novel adaptive
image segmentation technique (Sliding Windows) in
conjunction with a character recognition Neural Network. The
algorithm was tested with 2820 natural scene gray level vehicle
images of different backgrounds and ambient illumination.
The camera focused on the plate, while the angle of view and
the distance from the vehicle varied according to the
experimental setup. The license plates properly segmented
were 2719 over 2820 input images (96.4 ). The Optical
Character Recognition (OCR) system is a two layer
Probabilistic Neural Network with topology 108-180-36, whose
performance reached 97.4 . The PNN was trained to identify
multi-font alphanumeric characters from car license plates
based on data obtained from algorithmic image processing. Platform: |
Size: 831488 |
Author:keithe |
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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: Optical character recognition, usually abbreviated to OCR, is the mechanical or electronic conversion of scanned images of handwritten, typewritten or printed text into machine-encoded text. It is widely used as a form of data entry from some sort of original paper data source, whether documents, sales receipts, mail, or any number of printed records. It is crucial to the computerization of printed texts so that they can be electronically searched, stored more compactly, displayed on-line, and used in machine processes such as machine translation, text-to-speech and text mining Platform: |
Size: 833536 |
Author:tarik zahouane |
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Description: CBIR-Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
image of a text line, and the output is the name of the font used when printing
the text. After pre-processing and segmentation of the input image, a local
approach is used, where features are calculated for individual characters. The
method is based on eigenimages calculated from edge fi ltered character images,
which enables compact feature vectors that can be computed rapidly. A system
for visualizing the entire font database is also proposed. Applying geometry
preserving linear- and non-linear manifold learning methods, the structure of
the high-dimensional feature space is mapped to a two-dimensional representatn,which can be reorganized into a grid-based display. Platform: |
Size: 2366464 |
Author:Chandana |
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Description: Two novel contributions to Content Based Image Retrieval are presented and
discussed. The fi rst is a search engine for font recognition. The intended usage
is the search in very large font databases. The input to the search engine is an
image of a text line, and the output is the name of the font used when printing
the text. After pre-processing and segmentation of the input image, a local
approach is used, where features are calculated for individual characters. The
method is based on eigenimages calculated from edge fi ltered character images,
which enables compact feature vectors that can be computed rapidly. A system
for visualizing the entire font database is also proposed. Applying geometry
preserving linear- and non-linear manifold learning methods, the structure of
the high-dimensional feature space is mapped to a two-dimensional representa-
tion, which can be reorganized into a grid-based display. Platform: |
Size: 455680 |
Author:Chandana |
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Description: VB写的最简单的验证码识别程序，含图片识别及源代码模块，验证码图片取自网上ASP程序生成的图片，由程序读取后下载到本地，识别模块通过点阵扫描后对字符点阵数量的统计来进行识别。只能识别字符比较规则的验证码图片。-VB to write the most simple verification code recognition program, including image recognition and source code modules, captcha images taken from online ASP program generated by the program after the picture, read download to local, recognition module through the lattice scanning after the character lattice number of statistics to identification. Can only identify character comparison rules of the captcha image.
Platform: |
Size: 15360 |
Author:roseany |
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Description: This is a neural network based marathi character recognition system. Run directly OCR_ANN.m file. and then a GUI will open. Add the template file first for training. Once the excel file is taught, the GUI can recognise the text from scanned images. The neyrak network used is having 2 hidden layers. And 1000 & 500 neurons in each layer respectively. Platform: |
Size: 7422976 |
Author:manish |
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Description: Reading text photographs is a challenging
problem that has received a significant amount of attention.
Two key components of most systems are (i) text detection from
images and (ii) character recognition, and many recent methods
have been proposed to design better feature representations
and models for both. In this paper, we apply methods recently
developed in machine learning–specifically, large-scale algorithms
for learning the features automatically unlabeled
data–and show that they allow us to construct highly effective
classifiers for both detection and recognition to be used in a
high accuracy end-to-end system.-Reading text photographs is a challenging
problem that has received a significant amount of attention.
Two key components of most systems are (i) text detection from
images and (ii) character recognition, and many recent methods
have been proposed to design better feature representations
and models for both. In this paper, we apply methods recently
developed in machine learning–specifically, large-scale algorithms
for learning the features automatically unlabeled
data–and show that they allow us to construct highly effective
classifiers for both detection and recognition to be used in a
high accuracy end-to-end system. Platform: |
Size: 1145856 |
Author:qwmpg |
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Description: Gauss example may be used for a image in Computer vision. The classical problem in computer vision, image processing, and machine vision is that of determining whether or not the image data contains some specific object, feature, or activity.(Gauss example because extract the data you need from images using optical character recognition and image analytics with Computer Vision) Platform: |
Size: 4096 |
Author:Ma Thay
|
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Description: Optical character recognition (also optical character reader, OCR) is the mechanical or electronic conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast). Platform: |
Size: 26624 |
Author:ashkan1 |
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Description: The two-dimensional barcode / two-dimensional code (2-dimensional bar code) is the symbol information of the black and white images that are distributed in a plane (two-dimensional direction) in a certain geometric pattern. The concept of "0" and "1" bit stream, which constitutes the internal logic base of the computer, is skillfully used in the code compilation. Using a number of geometric forms corresponding to the binary to represent numeric information, automatically read through an image input device or a photoelectric scanning device to achieve automatic information processing: it has some commonalities in barcode technology: each code has its specific character set; each character occupies a certain width; it has a certain degree of correction. Test function and so on. At the same time, it also has the function of automatic recognition of information from different peers, and processing the change point of graphics rotation. Platform: |
Size: 1173504 |
Author:葛优躺 |
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Description: 本课题为基于连通域分割和模板匹配的二代居民身份证号码识别系统，带有一个GUI人机交互界面。可以识别数十张身份证图片。
首先从身份证图像上获取0～9和X共十一个号码字符的样本图像作为后续识别的字符库样本，其次将待测身份证图像进行去噪、灰度化、二值化、水平投影切割，垂直投影并切割，将待测身份证号码分割出来，然后进行待测号码图片与字符库样本对比计算、识别判断、最终确定待测身份证号号码。本设计关于身份证号码的识别是基于Matlab软件的基础上进行的。(This project is a second generation ID card number recognition system based on connected domain segmentation and template matching, with a GUI human-computer interface. It can identify dozens of ID card pictures.
Firstly, the sample images of 11 number characters (0-9 and x) are obtained from the ID card image as the character library samples for subsequent recognition. Secondly, the ID card image to be tested is denoised, grayed, binary, horizontal projection cut, vertical projection and cut, the ID card number code to be tested is segmented, and then the number image to be tested is compared with the sample of the character library for calculation and recognition judgment Finally determine the ID card number to be tested. The identification of ID card number in this design is based on MATLAB software.) Platform: |
Size: 566272 |
Author:www.wobishe.com |
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Search - character recognition from images