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 language | English |
|---|---|
| Title of host publication | Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2665-2668 |
| Number of pages | 4 |
| ISBN (Print) | 9781479930791 |
| DOIs | |
| Publication status | Published - Nov 26 2014 |
| Event | 3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 - Delhi, India Duration: Sep 24 2014 → Sep 27 2014 |
Other
| Other | 3rd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014 |
|---|---|
| Country | India |
| City | Delhi |
| Period | 9/24/14 → 9/27/14 |
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Keywords
- character segmentation
- manuscript analysis
- palm leaves analysis
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
Cite this
Ancient indian document analysis using cognitive memory network. / Kumar, Neethu S.; Kumar, Dinesh S.; Swathikiran, S.; James, Alex Pappachen.
Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2665-2668 6968659.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Ancient indian document analysis using cognitive memory network
AU - Kumar, Neethu S.
AU - Kumar, Dinesh S.
AU - Swathikiran, S.
AU - James, Alex Pappachen
PY - 2014/11/26
Y1 - 2014/11/26
N2 - 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.
AB - 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.
KW - character segmentation
KW - manuscript analysis
KW - palm leaves analysis
UR - http://www.scopus.com/inward/record.url?scp=84927620178&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84927620178&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2014.6968659
DO - 10.1109/ICACCI.2014.6968659
M3 - Conference contribution
AN - SCOPUS:84927620178
SN - 9781479930791
SP - 2665
EP - 2668
BT - Proceedings of the 2014 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -