NDLI: Persian handwritten digits recognition by using zoning and histogram projection

Content Provider	IEEE Xplore Digital Library
Author	Nooraliei, A.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr., Comput. & IT Eng., Islamic Azad Univ., Qazvin, Iran (Nooraliei, A.)
Abstract	In this paper, Persian handwritten digits reorganization by using zoning features and projection histogram for extracting feature vectors with 69-dimensions is presented. In classification stage, support vector machines (SVM) with three linear kernels, polynomial kernel and Gaussian kernel have been used as classifier. We tested our algorithm on the dataset that contained 8600 samples of Persian handwritten digits for performance analysis. Using 8000 samples in learning stage and another 600 samples in testing stage. The results got with use of every three kernels of support vector machine and achieved maximum accuracy by using Gaussian kernel with gamma equal to 0.16. In pre-processing stage only image binarization is used and all the images of this dataset had been normalized at center with size 40 × 40. The recognition rate of this method, on the test dataset 97.83 % and on all samples of dataset 100% was earned.
Starting Page	1
Ending Page	5
File Size	281336
Page Count	5
File Format	PDF
e-ISBN	9781467363150
DOI	10.1109/RIOS.2013.6595321
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-08
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Handwriting recognition Histograms Accuracy Optical character recognition Persian handwritten digits Feature extraction Pattern recognition Support vector machine Character recognition Kernel
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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