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Recent Progress in Computer-Vision-Based Human Activity Recognition and Related Areas Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices

Authors : Rykhard Bohush, Alexander Kurilovich, Sergey Ablameyko

Published in: Pattern Recognition and Information Processing

Publisher: Springer International Publishing

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Abstract

This paper proposes an algorithm for information fields detection and recognition of bank cards in video sequences, obtained from the iOS mobile device camera. For this, we use two basic steps. The first step is preprocessing for localization of symbols. The second step is symbol block recognition using OCR system. Preprocessing algorithm includes card edge detection, information fields segmentation, segments enhancement, symbols edge emphasizing and the final step is symbol block recognition using OCR system. Based on our approach and iPhone SDK frameworks, OpenCV and Tesseract library the bank card details recognition software is implemented. For experiments our database of the real static images and video sequences was used.

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Metadata
Title
Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices
Authors
Rykhard Bohush
Alexander Kurilovich
Sergey Ablameyko
Copyright Year
2019
Book
Pattern Recognition and Information Processing

Print ISBN: 978-3-030-35429-9

Electronic ISBN: 978-3-030-35430-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-35430-5_15

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