Please use this identifier to cite or link to this item: http://elib.psu.by:8080/handle/123456789/25229
Title: Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices
Authors: Bohush, R.
Kurilovich, A.
Ablameyko, S.
Keywords: Bank card
Flexible forms
Video sequences
Card detail recognition
Mobile device
Issue Date: 2019
Citation: Bohush R., Kurilovich A., Ablameyko S. (2019) Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices. In: Ablameyko S., Krasnoproshin V., Lukashevich M. (eds) Pattern Recognition and Information Processing. PRIP 2019. Communications in Computer and Information Science, vol 1055. Springer, Cham
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.
URI: https://doi.org/10.1007/978-3-030-35430-5_15
http://elib.psu.by:8080/handle/123456789/25229
Appears in Collections:Публикации авторов ПГУ в Scopus и Web of Science

Files in This Item:
File Description SizeFormat 
Bohush, R.Video-Based Content Extraction Algorithm from Bank Cards for iOS Mobile Devices.pdf77.39 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.