Brazilian Bank Check Handwritten Legal Amount Recognition
نویسندگان
چکیده
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 key-words: "mil", "reais/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 doesn’t 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.
منابع مشابه
Detecting and treating invasion in the courtesy amount field on bank checks
An approach is proposed for detecting and eliminating invasion in courtesy amount fields. This is a important step toward automatizing the bank check process. In a real database, 18% of handwritten courtesy amount fields exhibited invasions in the legal amount and signature fields. Experimental results have shown that the proposed approach is robust and efficient for improving the automatic rec...
متن کاملApplying Domain Knowledge to the Recognition of Handwritten Zip Codes
We present a simple system that exploits domain knowledge to improve the segmentation and recognition of handwritten ZIP codes. Specifically, we show that the concept of metaclasses of digits, introduced by Morita et al. [16] for recognition of Brazilian bank check dates, can be extended to ZIP code recognition. We also show that, when this domain knowledge is present, integrated segmentation a...
متن کاملFeature Set Selection and Weighting for Legal Amount Recognition on Brazilian Bank Checks
This work presents a study about feature selection and weighting for improving the recognition of handwritten words coming from Brazilian bank check lexicon. For this purpose, two global optimization methods are used: Tabu Search(TS) and Simulated Annealing(SA). These methods were combined with k-NN composing two hybrid approaches for features selection and weighting: SA/k-NN and TS/k-NN. The r...
متن کاملLegal Amount Recognition Based on the Segmentation Hypotheses for Bank Check Processing
A sophisticated methodology of legal amount recognition based on the word segmentation hypotheses is introduced for automatic bank check processing. Word segmentation hypotheses are derived according to the grapheme level segmentation results of legal amount. Novel hybrid schemes of HMM-MLP classifiers are also introduced for producing the ordered legal word recognition results with reliable de...
متن کاملHandwritten Month Word Recognition on Brazilian Bank Checks
This paper describes an off-line system under development to process unconstrained handwritten dates on Brazilian bank cheques in an omni-writer context. We show here some improvements on our previous work on isolated month word recognition using Hidden Markov Models (HMMs). After preprocessing, a word image is explicitly segmented into characters or pseudo-characters and represented by two fea...
متن کامل