Research Article
An Android Business Card Reader Based on Google Vision: Design and Evaluation
@INPROCEEDINGS{10.1007/978-3-030-34365-1_18, author={Nguyen Thuan and Dinh Nhan and Lam Toan and Nguyen Giang and Quoc Truong}, title={An Android Business Card Reader Based on Google Vision: Design and Evaluation}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 8th EAI International Conference, ICCASA 2019, and 5th EAI International Conference, ICTCC 2019, My Tho City, Vietnam, November 28-29, 2019, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2019}, month={12}, keywords={Business card reader Android Design science Experiment}, doi={10.1007/978-3-030-34365-1_18} }- Nguyen Thuan
Dinh Nhan
Lam Toan
Nguyen Giang
Quoc Truong
Year: 2019
An Android Business Card Reader Based on Google Vision: Design and Evaluation
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-34365-1_18
Abstract
Business cards have been widely used to greet business professionals and exchange contact information. However, the current paper-based way to manage business cards impedes their effective usage, leading to a need for digitalising and extracting business card information. This paper aims to design a business card reader (BCR) application for Android devices. Based on Google vision library, the application digitalises and extracts business card information. We evaluate the application on a dataset of 170 business cards. The results show that the application can digitalise business cards and extract contact information with 88.4% of accuracy. We then further conduct a comparative analysis of our application and other commercial BCR applications. Based on the results, the paper suggests several recommendations for future research.
