Neural and fuzzy methods in handwriting recognition

Computer

Volumn 30, Issue 2, 1997, Pages 79-85

  Gader, Paul D ^a,b,c,d   Keller, James M ^a   Krishnapuram, Raghu ^a   Chiang, Jung Hsien ^a   Mohamed, Magdi A ^a  

^a UNIVERSITY OF MISSOURI   (United States)

^b HONEYWELL   (United States)

^c UNIVERSITY OF CENTRAL FLORIDA   (United States)

^d UNIVERSITY OF FLORIDA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; DYNAMIC PROGRAMMING; FUZZY SETS; IMAGE SEGMENTATION; NEURAL NETWORKS; POSTAL SERVICES; ROBUSTNESS (CONTROL SYSTEMS); STATISTICAL METHODS;

HANDWRITING RECOGNITION; HIGH LEVEL HYPOTHESES; LOW LEVEL INFORMATION; SELF ORGANIZING FEATURE MAPS;

CHARACTER RECOGNITION;

EID: 0031077488     PISSN: 00189162     EISSN: None     Source Type: Trade Journal    
DOI: 10.1109/2.566164     Document Type: Review

References (12)

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2. P.D. Gader et al., "Handprinted Word Recognition on a NIST Data Set," Machine Vision and Its Applications, Vol. 8, 1995, pp. 31-40.
3. P. Gader, M. Mohamed, and J. Chiang, "Comparison of Crisp and Fuzzy Character Neural Networks in Handwritten Word Recognition," IEEE Trans. Fuzzy Systems, Aug. 1995, pp. 357-364.
4. J.-H. Chiang and P.D. Gader, "Hybrid Fuzzy-Neural Systems m Handwritten Word Recognition," IEEE Trans. Fuzzy Systems, accepted for publication.
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11. R. Krishnapuram and J. Keller, "A Possibilistic Approach to Clustering," IEEE Trans. Fuzzy Systems, May 1993, pp. 98-111.
12. P. Gader, J. Keller, and J. Cai, "A Fuzzy Logic System for the Detection and Recognition of Street Number Fields on Handwritten Postal Addresses," IEEE Trans. Fuzzy Systems, Feb. 1995, pp. 83-96.