NDLI: Ancient indian document analysis using cognitive memory network

Content Provider	IEEE Xplore Digital Library
Author	Kumar, N.S. Kumar, D.S. Swathikiran, S. James, A.P.
Copyright Year	2014
Description	Author affiliation: Enview R&D Labs., Trivandrum, India (Kumar, N.S.; Kumar, D.S.; Swathikiran, S.) \|\| Nazarbayev Univ., Astana, Kazakhstan (James, A.P.)
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 $17^{th}$ century). The automatic recognition of handwritten text from digital images of palm leaves dating back to $10^{th}$ 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.
Starting Page	2665
Ending Page	2668
File Size	1103463
Page Count	4
File Format	PDF
ISBN	9781479930784
e-ISBN	9781479930807
DOI	10.1109/ICACCI.2014.6968659
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Integrated circuits Image segmentation Image recognition Detectors Writing Manuscript analysis Palm leaves analysis Character segmentation
Content Type	Text
Resource Type	Article

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