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 language | English |
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Title of host publication | 2018 International Conference on Signal Processing and Information Security (ICSPIS) |
Publisher | IEEE |
ISBN (Electronic) | 9781728102573 |
DOIs | |
Publication status | Published - 18 Feb 2019 |
Event | 2018 International Conference on Signal Processing and Information Security - Dubai, United Arab Emirates Duration: 7 Nov 2018 → 8 Nov 2018 |
Conference
Conference | 2018 International Conference on Signal Processing and Information Security |
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Abbreviated title | ICSPIS 2018 |
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 7/11/18 → 8/11/18 |
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