Ancient indian document analysis using cognitive memory network

Neethu S. Kumar, Dinesh S. Kumar, S. Swathikiran, Alex Pappachen James

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this work, we propose a character segmentation system from ancient palm leaf manuscripts written in ancient Arya Ezhuthu(which was popularized as script to write Malayalam from 17th century). The automatic recognition of handwritten text from digital images of palm leaves dating back to 10th century BC. This can enable context based searching in large volumes of digital document. The subject about document image understanding is to extract and classify individual data meaningfully from palm leaf manuscript. We propose an automatic approach to detecting and identifying the characters. The proposed approach can improve the readability of the document. Text line segmentation is then applied and the characters are extracted.

Original languageEnglish
Title of host publicationProceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014
EditorsSougata Mukherjea, Dilip Krishnaswamy, Peter Mueller, Douglas E. Comer, Bhawna Mallick, Axel Sikora, Sabu M. Thampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2665-2668
Number of pages4
ISBN (Electronic)9781479930791
DOIs
Publication statusPublished - Nov 26 2014
Event3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 - Delhi, India
Duration: Sep 24 2014Sep 27 2014

Publication series

NameProceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014

Other

Other3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014
CountryIndia
CityDelhi
Period9/24/149/27/14

Keywords

  • character segmentation
  • manuscript analysis
  • palm leaves analysis

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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