| Issue |
MATEC Web of Conferences
Volume 44, 2016
2016 International Conference on Electronic, Information and Computer Engineering
|
|
|---|---|---|
| Article Number | 02087 | |
| Number of page(s) | 5 | |
| Section | Electronics, Information and Engineering Application | |
| DOI | https://doi.org/10.1051/matecconf/20164402087 | |
| Published online | 08 March 2016 | |
Recognition of the smart card iconic numbers
Automation School, Beijing University of Posts and Telecommunications, Beijing, China
a Corresponding author: songqing512@126.com
Manual way of recognizing and inputting the smart card iconic numbers leads to much time consuming, high resources consuming and low accuracy. This paper presents a new automatic method based on the technology of computer vision, including Harr operator for face detection, Fast operator for number location, image binarization, character segmentation and BP neural network for number recognition. Experimental results on 100 ID cards show that by adjusting the parameters of the BP neural network properly, the recognition accuracy is more than 99%, and the recognition time for each ID card is within 0.05 seconds.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.