kannada character segmentation code in opencv

Abstract

Data processing and management is common now a days. In this paper, automatic processing of forms written in Kannada language is considered. A suitable pre-processing technique is presented for extracting handwritten characters. Principal Component Analysis (PCA) and Histogram of oriented Gradients (HoG) are used for feature extraction. These features are fed to multilayer feed forward back propagation neural network for classification. Only 57 characters are used for recognition. Perform ....etc

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Optical character recognition (OCR) is the translation of optically scanned bitmaps of printed or written text characters into character codes, such as ASCII. This is an efficient way to turn hard-copy materials into data files that can be edited and otherwise manipulated on a computer. This is the technology long used by libraries and government agencies to make lengthy documents quickly available electronically. Advances in OCR technology have spurred its increasing use by enterprises. For many document-input tasks, OCR is the most cost-effec ....etc

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To get full information or details of character segmentation matlab code please have a look on the pages

http://link.springerchapter/10.1007/978-81-322-0997-3_25#page-1

if you again feel trouble on character segmentation matlab code please reply in that page and ask specific fields in character segmentation matlab code ....etc

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Abstract

Segmentation of line, word and character are one of the critical phases of optical character recognition (OCR). Due to the imperfection in segmentation, most of the recognition system produce poor recognition rate. In this paper we are discussing some novel approach for line, word and character segmentation of printed Manipuri document. Few works has been done for optical character recognition on other Indian script however in case of Manipuri language it is almost negligible. To the best of our knowledge this is the first report on s ....etc

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Hi there
Please help in developing an heuristic approach for touching and broken character segmentation of Kannada/Telugu. Suggest a method, Thanking u in advance. ....etc

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Abstract-
This paper presents an algorithm for segmentationof touching Devanagari characters (also referredto as conjuncts) into its constituent symbolsand characters. Proposed algorithm extensively usesstructural properties of the script. Statistical informationabout the height and width of characterboxes, which are vertically separate from their neighbours,is used to hypothesize character boxes to betouching character boxes. The recognition rate of85% has been achieved on the segmented touchingcharacters. ....etc

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character segmentation code in java

Plot the histogram (gradient value vs number of black pixel) and find the segmentation point for splitting the cursive character.

1.0 For each pixel column in the text line
1.1 Count the number of black pixels
End For
2.0 Generate histogram representing the number of black pixels in each column
3.0 Find the maximum value in the histogram
4.0 Set the threshold using the maximum value in the histogram
5.0 Assign positive and negative signs to the histogram gradient values.
6.0 For each group of consecutive ne ....etc

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Abstract

Character Segmentation is the most crucial step for any OCR (Optical Character Recognition) System. The selection of segmentation algorithm being used is the key factor in deciding the accuracy of OCR system. If there is a good segmentation of characters, the recognition accuracy will also be high. Segmentation of words into characters becomes very difficult due to the cursive and unconstrained nature of the handwritten script. This paper proposes a new vertical segmentation algorithm in which the segmentation points are located after ....etc

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Hi , I am BE Student has final year project which is Marathi Character Recognition using MATLAB. Pls if one has pls inform me i'll pay for this.

[email protected]

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Description
Speaker Recognition System V3 : Simple and Effective Source Code For for Speaker Identification Based On Neural Networks . See More : http://matlab-recognition-codespeaker-recognition-biometric-system-matlab-code/
- Speaker recognition based on Neural Networks
- High recognition rate
- Text-independent
- Fully customizable
- Easy c/c++ implementation
- Sampling frequency-independent
- Easy and intuitive GUI ....etc

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