Document image segmentation for Kannada script using zone based projection profiles

Siddhaling Urolagin, K. V. Prema, N. V. Subba Reddy

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

1 Citation (Scopus)

Abstract

In Kannada document image analysis, the document segmentation into individual lines, words and characters poses many challenges. The aksharas of Kannada language are formed by combination of glyphs of consonant, consonant conjuncts and vowel modifiers; therefore a lot variation in widths and heights of aksharas can be observed. Moreover an akshara is composed of two or more disconnected components. The consonant conjuncts pose more problems as they occasionally overlap with next line or next character. In this research we have proposed a Kannada document segmentation method using zone based projection profiles. The experiments are conducted on several scanned Kannada document with different fonts and character segmentation rate of 99.2% and consonant conjunct segmentation rate of 92.73% on an average is observed.

Original languageEnglish
Title of host publicationMobile Communication and Power Engineering - Second International Joint Conference, AIM/CCPE 2012, Revised Selected Papers
PublisherSpringer Verlag
Pages137-142
Number of pages6
ISBN (Print)9783642358630
DOIs
Publication statusPublished - 01-01-2013
Event2nd International Joint Conference on Mobile Communication and Power Engineering, AIM/CCPE 2012 - Bangalore, India
Duration: 27-04-201228-04-2012

Publication series

NameCommunications in Computer and Information Science
Volume296 CCIS
ISSN (Print)1865-0929

Conference

Conference2nd International Joint Conference on Mobile Communication and Power Engineering, AIM/CCPE 2012
Country/TerritoryIndia
CityBangalore
Period27-04-1228-04-12

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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