A Business Card Reader Application for iOS devices based on Tesseract

Bello Ahmed Dangiwa, Smitha S. Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As the accessibility of high-resolution smartphone camera has increased and an improved computational speed, it is now convenient to build Business Card Readers on mobile phones. The project aims to design and develop a Business Card Reader (BCR) Application for iOS devices, using an open-source OCR Engine-Tesseract. The system accuracy was tested and evaluated using a dataset of 55 digital business cards obtained from an online repository. The accuracy result of the system was up to 74% in terms of both text recognition and data detection. A comparative analysis was carried out against a commercial business card reader application and our application performed vastly reasonable.

Original languageEnglish
Title of host publication2018 International Conference on Signal Processing and Information Security (ICSPIS)
PublisherIEEE
ISBN (Electronic)9781728102573
DOIs
Publication statusPublished - 18 Feb 2019
Event2018 International Conference on Signal Processing and Information Security - Dubai, United Arab Emirates
Duration: 7 Nov 20188 Nov 2018

Conference

Conference2018 International Conference on Signal Processing and Information Security
Abbreviated titleICSPIS 2018
CountryUnited Arab Emirates
CityDubai
Period7/11/188/11/18

Fingerprint

Industry
Optical character recognition
Smartphones
Mobile phones
Cameras
Engines

Keywords

  • Image Processing
  • iOS
  • Natural Language Processing
  • Optical Character Recognition
  • Tesseract OCR

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Safety, Risk, Reliability and Quality

Cite this

Dangiwa, B. A., & Kumar, S. S. (2019). A Business Card Reader Application for iOS devices based on Tesseract. In 2018 International Conference on Signal Processing and Information Security (ICSPIS) [8642727] IEEE. https://doi.org/10.1109/CSPIS.2018.8642727
Dangiwa, Bello Ahmed ; Kumar, Smitha S. / A Business Card Reader Application for iOS devices based on Tesseract. 2018 International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 2019.
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Dangiwa, BA & Kumar, SS 2019, A Business Card Reader Application for iOS devices based on Tesseract. in 2018 International Conference on Signal Processing and Information Security (ICSPIS)., 8642727, IEEE, 2018 International Conference on Signal Processing and Information Security, Dubai, United Arab Emirates, 7/11/18. https://doi.org/10.1109/CSPIS.2018.8642727

A Business Card Reader Application for iOS devices based on Tesseract. / Dangiwa, Bello Ahmed; Kumar, Smitha S.

2018 International Conference on Signal Processing and Information Security (ICSPIS). IEEE, 2019. 8642727.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - As the accessibility of high-resolution smartphone camera has increased and an improved computational speed, it is now convenient to build Business Card Readers on mobile phones. The project aims to design and develop a Business Card Reader (BCR) Application for iOS devices, using an open-source OCR Engine-Tesseract. The system accuracy was tested and evaluated using a dataset of 55 digital business cards obtained from an online repository. The accuracy result of the system was up to 74% in terms of both text recognition and data detection. A comparative analysis was carried out against a commercial business card reader application and our application performed vastly reasonable.

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Dangiwa BA, Kumar SS. A Business Card Reader Application for iOS devices based on Tesseract. In 2018 International Conference on Signal Processing and Information Security (ICSPIS). IEEE. 2019. 8642727 https://doi.org/10.1109/CSPIS.2018.8642727