Automatic Recognition of Handwritten Numerical Strings: A Recognition and Verification Strategy

A modular system to recognize handwritten numerical strings is proposed. It uses a segmentation-based recognition approach and a Recognition and Verification strategy. The approach combines the outputs from different levels such as segmentation, recognition, and postprocessing in a probabilistic model. A new verification scheme which contains two verifiers to deal with the problems of oversegmentation and undersegmentation is presented. A new feature set is also introduced to feed the oversegmentation verifier. A postprocessor based on a deterministic automaton is used and the global decision module makes an accept/reject decision. Finally, experimental results on two databases are presented: numerical amounts on Brazilian bank checks and NIST SD19. The latter aims at validating the concept of modular system and showing the robustness of the system using a well-known database.

• Type: Journal
• Year: 2002
• Where: PAMI
• Authors: Luiz E. Soares de Oliveira, Robert Sabourin, Flávio Bortolozzi, Ching Y. Suen
• Keywords: Numerical Strings, PAMI 2002, Segmentation-based Recognition Approach, Verification Strategy