Matching word images for content-based retrieval from printed document images

@article{Meshesha2008MatchingWI,
  title={Matching word images for content-based retrieval from printed document images},
  author={Million Meshesha and C. V. Jawahar},
  journal={International Journal of Document Analysis and Recognition (IJDAR)},
  year={2008},
  volume={11},
  pages={29-38}
}
As large quantity of document images is getting archived by the digital libraries, there is a need for an efficient search strategies to make them available as per users information need. In this paper, we propose an effective word image matching scheme that achieves high performance in the presence of script variability, printing variation, degradation and word-form variants. A novel partial matching algorithm is designed for morphological matching of word form variants in a language. We… CONTINUE READING
Highly Cited
This paper has 50 citations. REVIEW CITATIONS
37 Citations
31 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

51 Citations

0510'10'12'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…