India Handwritten Digits Recognition

Abstract<br /> An Optical Character Recognition (OCR) approach for handwritten Indian digit is presented in this paper, by using the proposed sector approach. In this approach, the normalized and thinned digit image is divided into sectors with each sector covering a fixed angle. The features...

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Main Author: Iklaas Sultan (Author)
Format: Book
Published: College of Education for Pure Sciences, 2009-03-01T00:00:00Z.
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100 1 0 |a Iklaas Sultan  |e author 
245 0 0 |a India Handwritten Digits Recognition 
260 |b College of Education for Pure Sciences,   |c 2009-03-01T00:00:00Z. 
500 |a 1812-125X 
500 |a 2664-2530 
500 |a 10.33899/edusj.2009.57436 
520 |a Abstract<br /> An Optical Character Recognition (OCR) approach for handwritten Indian digit is presented in this paper, by using the proposed sector approach. In this approach, the normalized and thinned digit image is divided into sectors with each sector covering a fixed angle. The features totaling 24 include vector distances, angles. For recognition, the K-Nearest-Neighbours classifier is used. This method was tested using 45 patterns for each digit with different writers. The sample images were divided into 20 training and 25 test images. Images in the test set did not appear in the training sets. This method performs extremely well with recognition rates 82.8%. This is a very good performance. 
546 |a AR 
546 |a EN 
690 |a india handwritten 
690 |a digits recognition 
690 |a optical character recognition 
690 |a Education 
690 |a L 
690 |a Science (General) 
690 |a Q1-390 
655 7 |a article  |2 local 
786 0 |n مجلة التربية والعلم, Vol 22, Iss 1, Pp 104-112 (2009) 
787 0 |n https://edusj.mosuljournals.com/article_57436_2127afc868a638b6c7d2841bce1c56c4.pdf 
787 0 |n https://doaj.org/toc/1812-125X 
787 0 |n https://doaj.org/toc/2664-2530 
856 4 1 |u https://doaj.org/article/1b37e3d9de874bc6ad856a9fe2c1a6f3  |z Connect to this object online.