A two-stage HMM-based system for recognizing handwritten numeral strings

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn 2001-January, Issue , 2001, Pages 396-400

  De Britto, Alceu S ^a,b   Sabourin, Robert ^c,d   Bortolozzi, Flavio ^a   Suen, Ching Y ^d  

^a PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^b STATE UNIVERSITY OF PONTA GROSSA   (Brazil)

^c ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^d Gina Cody School of Engineering and Computer Science   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION;

CONTEXTUAL INFORMATION; DIGIT CLASSIFIER; FIRST SYSTEMS; HANDWRITTEN NUMERAL; HMM-BASED; HMM-BASED SYSTEMS; MULTIPLE SEGMENTATION; SETS OF FEATURES;

CHARACTER RECOGNITION;

EID: 0002742738     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.2001.953820     Document Type: Conference Paper

References (12)

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