Results 181 to 190 of about 815,840 (218)

Handwritten Digit String Recognition for Indian Scripts

2020
In many documents digits/numerals may touch each other and hence digit string recognition is necessary as segmentation of individual numeral from the touching string is difficult. In this paper, we propose a digit string recognition system for four Indian popular scripts.
Hongjian Zhan, Pinaki Nath Chowdhury, Umapada Pal 0001, Yue Lu 0001   +3 more
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Segmentation techniques for handwritten script recognition system

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015], 2015
Different scripts are used for writing purposes. It is very much important to identify/know these scripts before an appropriate character recognition algorithm is chosen. This paper deals mainly on the various segmentation techniques available for handwritten script recognition system. It is an important technique for image processing.
Jibu Mathew, Shinde, Ravi, Prof. C. Y Patil   +2 more
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Handwritten Text Line Identification in Indian Scripts

2009 10th International Conference on Document Analysis and Recognition, 2009
Preprocessing in handwritten text OCR involves line, word and character segmentation. This paper deals with text line identification of handwritten Indian scripts, especially of Bangla, as well as English, Hindi, Malayalam, etc. Here, a new dual method based on interdependency between text-line and inter-line gap is proposed.
B. B. Chaudhuri 0001, Sumedha Bera
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Offline Script Identification from Handwritten Gujrati Script Documents

Journal of Clinical Forensic Sciences, 2023
This study focuses on offline script identification of handwritten Gujarati script documents using Optical Character Recognition (OCR) techniques. The goal is to develop an efficient system capable of accurately identifying the Gujarati script from handwritten documents. The process begins with the collection of a diverse dataset of offline handwritten
Akash Sharma, Chhote Raja Patle, Anuwanshi Sharma, Anita Yadav   +3 more
openaire   +1 more source

Trilingual Script Separation of Handwritten Postal Document

2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing, 2008
Postal automation is a topic of research over the last few years. There are many works towards the postal automation in USA, UK, Japan and Australia, but for Indian postal automation there is a few significant works. This paper deals with tri-lingual word-wise handwritten script identification for Indian postal automation.
Kaushik Roy 0004, Kinshuk Majumder
openaire   +2 more sources

Script and language identification for handwritten document images

International Journal on Document Analysis and Recognition, 1999
A system for automatically identifying the script used in a handwritten document image is described. The system was developed using a 496-document dataset representing six scripts, eight languages, and 279 writers. Documents were characterized by the mean, standard deviation, and skew of five connected component features. A linear discriminant analysis
Judith Hochberg, Kevin Bowers, Michael Cannon, Patrick Kelly   +3 more
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Recognizing ODIA handwritten scripts

2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2017
This paper deals with Optical character recognition (OCR) for Odia handwritten Characters which deserves more attention from the researchers. In the proposed method, an existing database has been studied. First of all the images are preprocessed. Then the preprocessed images are used for feature extraction.
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Script Identification from Handwritten Document

2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, 2011
Every country has their own language and script. This may or may not common to other countries. To communicate with each other we need to have a common language. English is the language that is performing that role. So most of the countries (other than Roman) use bi-script documents.
K. Roy, S. Kundu Das, Sk. Md. Obaidullah
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Handwritten character segmentation for Kannada scripts

2012 World Congress on Information and Communication Technologies, 2012
Character segmentation has become a crucial task for character recognition in many OCR systems. It is an important step because incorrectly segmented characters are unlikely to be recognized correctly. For segmenting a cursive scripts leads more challenging because of presence of more touching characters.
C. Naveena, V. N. Manjunath Aradhya
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Challenges in Segmentation of Text in Handwritten Gurmukhi Script

2010
The scanned image of the text is not of any use for user, because that image is not editable. One can not make any change if required to the scanned document. This provides a food for thought for the theory of optical character recognition (OCR). OCR is nothing but character recognition of a segmented part of the scanned image.
K. Sharma Rajiv, S. Dhiman Amardeep
openaire   +1 more source