An intelligent offline handwriting recognition system using evolutionary neural learning algorithm and rule based over segmented data points

Journal of Research and Practice in Information Technology

Volumn 37, Issue 1, 2005, Pages 73-86

  Ghosh, Ranadhir ^a   Ghosh, Moumita ^a  

^a UNIVERSITY OF BALLARAT   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; FEATURE EXTRACTION; GENETIC ALGORITHMS; HIERARCHICAL SYSTEMS; IMAGE SEGMENTATION; LEARNING ALGORITHMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; NEURAL NETWORKS; OPTICAL CHARACTER RECOGNITION; PERSONNEL TRAINING;

CONTOUR EXTRACTION; IMAGE REPRESENTATION; OFF-LINE HANDWRITING RECOGNITION; WORD RECOGNITION;

INTELLIGENT AGENTS;

EID: 12844271099     PISSN: 1443458X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

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2. BUNKE, H., ROTH, M., and SCHUKAT-TALAMAZZINI, E.G. (1995): Offline cursive handwriting recognition using hidden Markov models. Proc. Pattern Recognition, 28(9): 1399-1413.
3. EASTWOOD, B., JENNINGS, A., and HARVEY, A. (1997): A feature based neural network segmenter for handwritten words. Proc. ICCIMA International Conference on Computational Intelligence and Multimedia Applications, Gold Coast, Australia, 286-290.
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7. LU, Y., and SHRIDHAR, M. (1988): Character segmentation in handwritten word - An overview. Proc. Pattern Recognition, 77-96.