Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/72850
Title: Handwritten Character Recognition for Indian Languages
Researcher: Ragha, Leena R
Guide(s): Dr. M Sasikumar
Keywords: Handwritten Character Recognition
Indian Languages
Optical Character Recognition
University: SNDT Womens University
Completed Date: 2011
Abstract: Optical Character Recognition (OCR) is a crucial part of electronic processing and newlineanalysis of the documents called Electronic Document Analysis Systems. This area lies in the newlineintersection of the fields of Image Processing, Pattern Recognition, and Natural Language newlineProcessing. Although there have been tremendous research efforts, the state of the art in the newlineOCR has only reached the point of partial use in recent years. Nowadays, cleanly printed text newlinein documents with simple layouts can be recognized reliably by off the-shelf OCR software. newlineThere is only limited success in handwriting character recognition (HCR), and that too for newlineisolated and neatly hand-printed characters and words for limited vocabulary. However, in newlinespite of the intensive effort of more than thirty years, the recognition of free style and cursive newlinehandwriting continues to remain in the research arena. newlineIndia is a Multi-lingual country with many languages having their own distinctive newlinescripts and rich literary traditions. To help in bridging the digital divide and to increase the newlineease of communication with computers, it is particularly important to develop computer newlinesystems that allow users to interact with them in their respective languages. HCR can be used newlineas a solution to convert the hard copy information to soft form and also as an input media for newlinethe regional language scripts with large number of characters. The recognition of handwritten newlinecharacters for Indian languages is still an active research problem. newlineIn this thesis, we are investigating the challenges in building an offline HCR system newlinecapable of efficiently recognizing isolated handwritten characters including Kagunita for an newlineIndian script- Kannada. The aim is to investigate the HCR technologies that can be newlinegeneralized for various Indian language scripts. There is very little research base on HCR newlineavailable for Indian language scripts. We, therefore, surveyed national as well as international newlinelanguage OCRs including printed and handwritten scripts to find the suitable methodologies newlinefor each
Pagination: 
URI: http://hdl.handle.net/10603/72850
Appears in Departments:Usha Mittal Institute of Technology

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01_title.pdfAttached File18.89 kBAdobe PDFView/Open
02_acknowledgement.pdf20.99 kBAdobe PDFView/Open
03_abstract.pdf30.35 kBAdobe PDFView/Open
04_list of content.pdf35.01 kBAdobe PDFView/Open
05_list of figures.pdf27.17 kBAdobe PDFView/Open
06_list of tables.pdf22.02 kBAdobe PDFView/Open
07_abbreviation.pdf24.61 kBAdobe PDFView/Open
08_chapter 1.pdf144.94 kBAdobe PDFView/Open
09_chapter 2.pdf244.46 kBAdobe PDFView/Open
10_chapter 3.pdf84.54 kBAdobe PDFView/Open
11_chapter 4.pdf36.16 kBAdobe PDFView/Open
12_chapter 5.pdf291.09 kBAdobe PDFView/Open
13_chapter 6.pdf613.09 kBAdobe PDFView/Open
14_chapter 7.pdf146.99 kBAdobe PDFView/Open
15_chapter 8.pdf102.28 kBAdobe PDFView/Open
16_chapter 9.pdf158.87 kBAdobe PDFView/Open
17_chapter 10.pdf26.24 kBAdobe PDFView/Open
18_chapter 11.pdf24.21 kBAdobe PDFView/Open
19_publications.pdf23.95 kBAdobe PDFView/Open
20_appendix.pdf477.03 kBAdobe PDFView/Open
21_references.pdf53.45 kBAdobe PDFView/Open


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