1997
DOI: 10.1142/s0218001497000226
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The A2iA Intercheque System: Courtesy Amount and Legal Amount Recognition for French Checks

Abstract: We developed a check reading system, termed INTERCHEQUE, which recognizes both the legal (LAR) and the courtesy amount (CAR) on bank checks. The version presented here is designed for the recognition of French, omni-bank, omni-scriptor, handwritten bank checks, and meets industrial requirements, such as high processing speed, robustness, and extremely low error rates. We give an overview of our recognition system and discuss some of the pattern recognition techniques used. We also describe an installation whi… Show more

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Cited by 47 publications
(21 citation statements)
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“…It is able to recognize both courtesy and legal amounts on various types of payment documents: handwritten personal or business checks, machine-printed checks, deposit tickets, credit/debit forms, money transfer orders, travelers checks, etc. Figure 3 shows the current organization of the system which is currently different from what has been reported in our previous papers [12,19]. As can be seen from Fig.…”
Section: System Architecture and Design Principlesmentioning
confidence: 70%
See 4 more Smart Citations
“…It is able to recognize both courtesy and legal amounts on various types of payment documents: handwritten personal or business checks, machine-printed checks, deposit tickets, credit/debit forms, money transfer orders, travelers checks, etc. Figure 3 shows the current organization of the system which is currently different from what has been reported in our previous papers [12,19]. As can be seen from Fig.…”
Section: System Architecture and Design Principlesmentioning
confidence: 70%
“…The traditional recognition rate is not a sufficient quality measure for a soft recognizer: it characterizes just the quality of the top candidate, while other members of the list remain unutilized. Instead, we use an information-based criterion of recognition quality [11,19]. It is possible to prove that maximum information on correct classification is contained in such a list, whose members are estimates of posterior class probabilities.…”
Section: System Architecture and Design Principlesmentioning
confidence: 99%
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