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In this paper, we present a robust and font independent Gurmukhi OCR system, which performs reasonably well on old documents as well. The OCR is based on four classifiers operating in serial and parallel mode.

Added on July 14, 2010

92

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Gurpreet Singh lehal

A large annotated corpus is critical to the development of robust optical character recognizers (OCRs). However, creation of annotated corpora is a tedious task. It is laborious, especially when the annotation is at the character level. In this paper, we propose an efficient hierarchical approach for annotation of large collection of printed document images. We align document images with independently keyed-in text.

Added on July 14, 2010

47

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : C. V. Jawahar and Anand Kumar

This paper presents integration and testing scheme for managing the large Multilingual OCR Project. The project has passed the major devel-opment phase but currently is being enhanced for handling the space and time constraints, achieving desired recognition accuracies and adding new functionalities. β-version of the product is expected to be released soon.

Added on July 14, 2010

111

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Arti Bansal, Deepak Arya,Shalu Gupta, Tushar Patnaik,Ritu Garg


In Indian language, recognition of curved and multi-oriented text is difficult. In curved text, the shirorekha is curved and character will be at any rotated position. Also in case of multi-oriented text, the text is skewed at some angle. These issues make the recognition of this type of text complex [1][2].

Added on July 14, 2010

50

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Mr. Daulat Sihag, Shalu Gupta, Tushar Patnaik


This paper presents a scheme based upon XML based label-ing for managing a large multilingual OCR project. Managing a large multi-lingual OCR project involving multiple research groups, develop-ing script specific and script independent technologies in a collaborative fashion is a challenging problem.

Added on July 14, 2010

19

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  • Product Type : Research Paper
  • License Type : Freeware
  • System Requirement : Not Applicable
  • Author : Ritu Garg & Santanu Chaudhury,
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