A Prototype for Brazilian Bankcheck Recognition

Lee, Luan Ling; Lizárraga, Miguel Gustavo; Gomes, Natanael Rodrigues; Koerich, Alessandro L.

doi:10.1142/s0218001497000238

Cited by 23 publications

(11 citation statements)

References 23 publications

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“…Offline signature verification applications mainly concern the authentication of bank checks, contracts, ID personal cards, administrative forms, formal agreements, acknowledgement of services received, etc. [60], [171], [236], [259]. This type of verification is related to paper-based document authentication.…”

Section: Discussionmentioning

confidence: 99%

“…In fact, bank check images are very complex because they generally contain a color pictorial background, several logos, and many preprinted guidelines. Thus, the treatment of signature images extracted from the bank check is very difficult and the development of signature verification systems with the accuracy required of banks and other financial institutions is an area of continued research [39], [59], [60], [61], [171], [236], [367]. For this purpose, specific hybrid systems have been developed, which combine online and offline information for handwritten signature verification.…”

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

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Automatic Signature Verification: The State of the Art

Impedovo

Pirlo

2008

IEEE Trans. Syst., Man, Cybern. C

540

295

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Abstract-In recent years, along with the extraordinary diffusion of the Internet and a growing need for personal verification in many daily applications, automatic signature verification is being considered with renewed interest. This paper presents the state of the art in automatic signature verification. It addresses the most valuable results obtained so far and highlights the most profitable directions of research to date. It includes a comprehensive bibliography of more than 300 selected references as an aid for researchers working in the field.

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Section: Discussionmentioning

confidence: 99%

Section: Data Acquisition and Preprocessingmentioning

confidence: 99%

Automatic Signature Verification: The State of the Art

Impedovo

Pirlo

2008

IEEE Trans. Syst., Man, Cybern. C

540

295

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“…There are different strategies for cleaning of background and foreground. Some approaches use separated processing [5,18,6,2] while others use combined cleaning operators for foreand background [20,17].…”

Section: Methods For Document Pre-processingmentioning

confidence: 99%

“…It is understood that fixed parameter sets for the processing are not useful, either. In addition, even the number of different image operations should be extendable, because there are many approaches promising good processing results [6,17,18,3,28,27].…”

Section: Framework For Document Processingmentioning

confidence: 99%

A computer-based system to support forensic studies on handwritten documents

Franke

Köppen

2001

IJDAR

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Computer-based forensic handwriting analysis requires sophisticated methods for the pre-processing of digitized paper documents, in order to provide highquality digitized handwriting, which represents the original handwritten product as accurately as possible. Due to the requirement of processing a huge amount of different document types, neither a standardized queue of processing stages, fixed parameter sets nor fixed image operations are qualified for such pre-processing methods. Thus, we present an open layered framework that covers adaptation abilities at the parameter, operator, and algorithm levels. Moreover, an embedded module, which uses genetic programming, might generate specific filters for background removal on-the-fly. The framework is understood as an assistance system for forensic handwriting experts and has been in use by the Bundeskriminalamt, the federal police bureau in Germany, for two years. In the following, the layered framework will be presented, fundamental document-independent filters for textured, homogeneous background removal and for foreground removal will be described, as well as aspects of the implementation. Results of the framework-application will also be given.

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“…Many systems are already available, however they usually work on welldefined application environments, such as ZIP code recognition [1,7,9] and bankcheck processing [3,4,8], where a number of constraints can be imposed to facilitate the recognition task such as the restricted size of the vocabulary or the reduced number of classes [5,6,10]. Most of the research effort on handwriting recognition has primarily been in improving recognition accuracy of such systems.…”

Section: Introductionmentioning

confidence: 99%