This paper presents an automated system for storage and retrieval of bank checks in contrast with the microfilming techniques that are currently used. The bank check images are introduced into an extraction module where the filled-- in information is segmented. This information is indexed via

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", "

This paper presents a multi-staged technique for locating the courtesy amount block on bank checks. In the case of a check processing system, many of the proposed methods are not acceptable, due to the the presence of many fonts and text sizes, as well as the short length of many text strings

In spite of evolution of electronic techniques, a large number of applications continue to rely on the use of paper as the dominant medium. Bank checks are a widely known example. When filled by hand, the processing of the writ-ten information requires either a human or a special software which has

In spite of rapid evolution of electronic techniques, a number of large-scale applications continue to rely on the use of paper as the dominant medium. This is especially true for processing of bank checks. This paper examines the issue of reading the numerical amount field. In the case of checks

transaction, as well as the time for a second individual to verify that data entry. The successful implementation of such a system would have a great impact on the banking industry, as it would make check processing more efficient and also reduce the number of human errors. If bank checks were designed

A quantitative comparison of ion–deposition printing for MICR quality on bank checks, in relation to other printing systems

of graph transformer networks. A graph transformer network for reading a bank check is also described. It uses convolutional neural network character recognizers combined with global training techniques to provide record accuracy on business and personal checks. It is deployed commercially and reads

notes in a PDA, in postal addresses on envelopes, in amounts in bank checks, in handwritten fields in forms, etc. This overview describes the nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms. Both the on

An approach is proposed for detecting and eliminat-ing 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 ex-hibited invasions in the legal amount and signature fields. Experimental