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Article . 2017
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Article . 2017
License: CC BY
Data sources: Datacite
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Um Sistema Android Para Reconhecimento Automático Do Número De Cartão De Crédito Usando Template Matching

Authors: Lincoln Soares Rodrigues Junior; Karin Satie Komati;

Um Sistema Android Para Reconhecimento Automático Do Número De Cartão De Crédito Usando Template Matching

Abstract

There was an increase in purchases via credit card via smartphones with the growth of electronic commerce. It becomes more convenient and faster to just scan the image of the credit card than to enter the data of the card. In this work, a mobile system is presented that digitizes the credit card number and generates the recognized digits. The system, when scanning the data printed on the face of the credit card, applies digital image processing techniques for image enhancement and performs image digit recognition through the Template Matching technique. Using a test database containing 50 different credit card templates, a 75% hit rate was achieved on recognition.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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