NDLI: Optimized Word Segmentation for the Word Based Cursive Handwriting Recognition

Content Provider	IEEE Xplore Digital Library
Author	Mehdi, M.M. Riaz, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci., G.C Univ., Lahore, Pakistan (Mehdi, M.M.; Riaz, A.)
Abstract	This paper is the result of research carried out to enhance the efficiency of cursive handwriting word based segmentation for sigma based offline cursive handwriting recognition. After success in recognition process the optimization process was undertaken. A new algorithm with the combination of smart data structure techniques was successfully developed and tested over various samples. Also the comparative analysis was taken in extensive research between bitmap and bitmap data. The algorithm was tested on both type of images and results under different circumstances were compared. Each image type had its advantaged and disadvantages. The segmentation time was well reduced by using basic iteration for just reading the image else every calculation and word segmentation was handled by different data structures depending upon their use and function they handle the best in different situations. Binary image made it faster with loss of some quality while with retaining the quality the speed was still better than before. The idea of using during-process image scaling and re-scaling is also under consideration and experiment. The input images to the algorithm were already processed, normalized and noise removed by edge detection techniques using very careful threshold to have the difference between a word and a noise. This segmentation algorithm is one of its kinds as it has been for the first time applied on word based handwriting. During the comparison search with other algorithms only one paper was found which used almost the same technique but it was for character based handwriting recognition [13].
Starting Page	299
Ending Page	304
File Size	635341
Page Count	6
File Format	PDF
e-ISBN	9781479925780
DOI	10.1109/EMS.2013.52
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-20
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image edge detection Noise Data structures sigma feature of handwriting recognition Object recognition Handwriting recognition Image segmentation word segmentation normalization feature extraction word based handwriting recognition pattern recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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