A system for processing handwritten bank checks automatically
Image and Vision Computing
A filtering algorithm for highly noisy images of brazilian ATM bank checks
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
New holistic handwritten word recognition and its application to french legal amount
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
| Hi-index | 0.00 |
This paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten legal amount recognition problem puts on evidence the keywords: "mil", "reals/real", "centavos/centavo" which are almost always present in each amount. The recognizer, based on hidden markov models, does a global word analysis, therefore, it does not carry out an explicit segmentation of words into characters or pseudo-characters. In this context, each word image is transformed into a sequence of observations using pre-processing and feature extraction stages. Our system, when tested on our database simulating Brazilian bank checks, shows the viability of our approach.