| Title | A Business Card Reader Application for iOS devices based on Tesseract |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Dangiwa, Bello Ahmed, Kumar, Smitha S |
| Conference Name | 2018 International Conference on Signal Processing and Information Security (ICSPIS) |
| Date Published | nov |
| Keywords | 55 digital business cards, BCR application, Business, Cameras, character recognition, commercial business card reader application, compositionality, data detection, Engines, feature extraction, high-resolution smartphone camera, human factors, image processing, ios, iOS (operating system), iOS devices, iOS Security, Metrics, mobile computing, mobile phones, natural language processing, online repository, open-source OCR engine, optical character recognition, Optical character recognition software, pubcrawl, public domain software, Resiliency, smart phones, Tesseract, Tesseract OCR, text detection, Text recognition |
| 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. |
| DOI | 10.1109/CSPIS.2018.8642727 |
| Citation Key | dangiwa_business_2018 |
A Business Card Reader Application for iOS devices based on Tesseract