Segmentation and recognition of handwritten dates: An HMM-MLP hybrid approach

International Journal on Document Analysis and Recognition

Volumn 6, Issue 4, 2003, Pages 248-262

  Morita, Marisa ^a,b   Sabourin, Robert ^a,b,c   Bortolozzi, Flávio ^c   Suen, Ching Y ^b  

^a ÉCOLE DE TECHNOLOGIE SUPÉRIEURE   (Canada)

^b Dept of Electrical and Computer Engineering   (Canada)

^c PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

Author keywords

Date processing; Hidden Markov models; Metaclasses; Neural networks; Recognition and verification; Segmentation

Indexed keywords

BANK CHECKS; DATE RECOGNITION; FINAL DECISION; HMM-BASED; HYBRID APPROACH; MARKOVIAN STRATEGIES; METACLASSES; RECOGNITION PROCESS;

HIDDEN MARKOV MODELS; HYBRID SYSTEMS; IMAGE SEGMENTATION; NEURAL NETWORKS;

CHARACTER RECOGNITION;

EID: 16244390077     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-003-0114-z     Document Type: Article

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