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2017 | OriginalPaper | Chapter

Kalanjiyam: Unconstrained Offline Tamil Handwritten Database

Authors : Faizal Hajamohideen, S. Noushath

Published in: Computer Vision, Graphics, and Image Processing

Publisher: Springer International Publishing

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Abstract

In this paper, we present a new offline Tamil Handwritten database Kalanjiyam. This database serves dual purpose by providing isolated handwritten characters of varying writing styles (Phase-1) as well as handwritten text paragraphs (Phase-2). For both Phase-1 and Phase-2, we collect samples from 500 people of varying age groups, profession, different handedness etc. Each data collection form allows the volunteer to write 80 characters and two paragraphs of four sentences at least. Phase-1 of this work, involving data acquisition, processing and other protocols, has been reported in this paper for quick and timely dissemination of the ongoing work. The database is supplemented with essential ground-truth (GT) information and is made publicly available. To the best of our knowledge, this Kalanjiyam database when it is full-fledged (Phase-2 of the Database included), will be first of its kind to host comprehensive collection of offline handwritten characters as well text lines.

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Footnotes
1
The 2006 edition of IWFHR conducted Tamil Handwritten Character Recognition competition but the emphasis was for Online data.
 
2
Our preliminary experience with volunteers suggested that they were comfortable in providing 80 character samples and two separate paragraphs than providing 156 characters or two paragraphs alone. Also, letting the same volunteer to write complete 156 samples would be demanding and the volunteer might get hurried to fill the data. This may result in too much of deviation from normal writing style.
 
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Metadata
Title
Kalanjiyam: Unconstrained Offline Tamil Handwritten Database
Authors
Faizal Hajamohideen
S. Noushath
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-68124-5_24

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