NDLI: A hybrid fuzzy feature extraction framework for handwritten numeric fields recognition

Content Provider	IEEE Xplore Digital Library
Author	Jung-Hsien Chiang Gader, P.
Copyright Year	1996
Description	Author affiliation: Dept. of Inf. Manage., Chaoyang Inst. of Technol., Taichung, Taiwan (Jung-Hsien Chiang)
Abstract	A hybrid feature extraction framework for handwritten numeric fields recognition is described. The numeric fields were extracted from binary images of credit card application forms. The images include identity numbers and telephone numbers. The feature extraction framework utilizes a cascade of multiple Kohonen self-organizing feature maps and sets of membership value generation units. The goal of our feature extraction process is to provide reliable information to the recognition stage. The recognition stage uses the fuzzy feature set as inputs to a multilayer neural network. The desired outputs for the networks were set using a fuzzy k-nearest neighbor algorithm. We present experimental results which demonstrate the ability to extract features automatically in handwritten digit recognition. Experiments were performed on a test data set from the CCL/ITRI Database which consisted of over 90390 handwritten numeric digits. A recognition rate of 98.74% was achieved on this database.
Starting Page	1881
Ending Page	1885
File Size	365293
Page Count	5
File Format	PDF
ISBN	0780336453
DOI	10.1109/FUZZY.1996.552684
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Handwriting recognition Data mining Fuzzy sets Multi-layer neural network Spatial databases Credit cards Telephony Fuzzy neural networks Neural 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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