NDLI: Stroke identification in Gujarati text using directional feature

Content Provider	IEEE Xplore Digital Library
Author	Mendapara, M.B. Goswami, M.M.
Copyright Year	2014
Description	Author affiliation: Dept. of Inf. Technol., Dharmsinh Desai Univ., Nadiad, India (Mendapara, M.B.; Goswami, M.M.)
Abstract	Strokes are the most natural way of describing the character formation; although most of the researcher uses transform based features for recognition of offline text. The stroke base features are very popular in online handwritten text recognition because it is easy to identify stroke and its sequence by tracing pen tip, whereas it is difficult to obtain the same information in the offline text. The aim of this research is to propose the method which will separate the strokes from the thinned binary image of text and extract the directional features from the separated stroke. The strokes are further categorized using k-Nearest Neighbor (k-NN). Recognition of printed Gujarati numeral is selected as a case study to validate proposed features. Accuracy obtains at stroke level is 88%, however the accuracy at symbolic level is likely to improve since every symbol is a collection of multiple stroke. Since there is no standard data set available exclusively for Gujarati text, so this research also aims to generate a dataset of isolated Gujarati numeral.
Starting Page	1
Ending Page	5
File Size	2780561
Page Count	5
File Format	PDF
e-ISBN	9781479949823
DOI	10.1109/ICGCCEE.2014.6922264
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-03-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	K-NN Handwriting recognition Image segmentation Accuracy Directional feature Feature extraction Separate the strokes Character recognition Optical character recognition software Stroke Identification
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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