NDLI: Hand written digit recognition using BKS combination of neural network classifiers

Content Provider	IEEE Xplore Digital Library
Author	Khotanzad, A. Chung, C.
Copyright Year	1994
Description	Author affiliation: Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA (Khotanzad, A.; Chung, C.)
Abstract	The problem of recognition of handwritten segmented digits irrespective of their size or stroke width is considered. A new approach of combining several different multi-layer perceptron (MLP) neural network classifiers operating on the same image is developed. The classification decisions made by individual MLPs are combined through a method called "behavior-knowledge space" (BKS). The BKS method relies on the behavior of the classifiers on the training set. The pseudo-Zernike moments extracted from the normalized and thinned image of the digit within its bounding circle are used as features. The approach is tested on 3000 digits using three classifiers and a hard error rate of 1.37% is obtained. This is a reduction of almost 50% compared to a single MLP network classifier. The results are also compared to an alternative method of combining the classifiers.
Starting Page	94
Ending Page	99
File Size	500987
Page Count	6
File Format	PDF
ISBN	0818662506
DOI	10.1109/IAI.1994.336676
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-21
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Handwriting recognition Character recognition Optical character recognition software Feature extraction Testing Image segmentation Error analysis Optical computing Optical fiber networks
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
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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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