A modular system to recognize numerical amounts on Brazilian bank cheques

Author

Oliveira, L.S. ; Sabourin, R. ; Bortolozzi, F. ; Suen, C.Y.

Author_Institution

Pontificia Univ. Catolica do Parana, Curitiba, Brazil

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

389

Lastpage

394

Abstract

The paper presents a modular system to recognize numerical amounts on Brazilian bank cheques. The system uses a segmentation-based recognition approach and the recognition function is based on a recognition and verification strategy. Our approach consists of combining the outputs from different levels such as segmentation, recognition and post-processing in a probabilistic model. A new feature set is introduced to the verifier module in order to detect segmentation effects such as over-segmentation and under-segmentation. Finally, we present experimental results on two databases: numerical amounts and NIST SD19. The latter aims at validating the concept of modular system and showing the robustness of the system over a well-known database

Keywords

bank data processing; cheque processing; handwritten character recognition; image segmentation; Brazilian bank cheques; NIST SDI9; Recognition and Verification strategy; feature set; modular system; numerical amount recognition; over-segmentation; probabilistic model; recognition function; segmentation effects; segmentation-based recognition approach; under-segmentation; verifier module; Character recognition; Databases; Equations; Handwriting recognition; Image recognition; Information theory; Machine intelligence; Pattern recognition; Robustness; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7695-1263-1

Type

conf

DOI

10.1109/ICDAR.2001.953819

Filename

953819