Iterative multimodel subimage binarization for handwritten character segmentation

IEEE Transactions on Image Processing

Volumn 13, Issue 9, 2004, Pages 1223-1230

  Dawoud, Amer ^a,b   Kamel, Mohamed S ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b University of South Alabama   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE QUALITY; ITERATIVE METHODS; MATHEMATICAL MODELS; MATRIX ALGEBRA; OPTICAL CHARACTER RECOGNITION; OPTIMIZATION; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

DOCUMENT BINARIZATION; DOCUMENT PROCESSING; HANDWRITTEN CHARACTER SEGMENTATION; SUBIMAGE BINARIZATION;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; FEEDBACK SYSTEM; HANDWRITING; IMAGE ENHANCEMENT; INFORMATION PROCESSING; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTOMATIC DATA PROCESSING; COMPUTER SIMULATION; FEEDBACK; HANDWRITING; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 4344717271     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2004.833101     Document Type: Article

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