An implicit segmentation-based method for recognition of handwritten strings of characters

Authors:
Paulo Rodrigo Cavalin;Alceu de Souza Britto, Jr.;Flávio Bortolozzi;Robert Sabourin;Luiz E. Soares Oliveira
Affiliations:
Pontificia Universidade, Católica do Paraná, Curitiba, Brazil;Pontificia Universidade, Católica do Paraná, Curitiba, Brazil;Pontificia Universidade, Católica do Paraná, Curitiba, Brazil;École de Technologie Supériere, Montreal, Canada;Pontificia Universidade, Católica do Paraná, Curitiba, Brazil
Venue:
Proceedings of the 2006 ACM symposium on Applied computing
Year:
2006

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Abstract

This paper describes an implicit segmentation-based method for recognition of strings of characters (words or numerals). In a two-stage HMM-based method, an implicit segmentation is applied to segment either words or numeral strings, and in the verification stage, foreground and background features are combined to compensate the loss in terms of recognition rate when segmentation and recognition are performed in the same process. A rigorous experimental protocol shows the performance of the proposed method for isolated characters, numeral strings, and words.