Translator Disclaimer
Paper
3 January 2020 Text field extraction from camera-captured express images
Author Affiliations +
Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 1137324 (2020) https://doi.org/10.1117/12.2557470
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
Abstract
With the development of domestic express business in China, there is a potential and huge need for automatic information extraction from express mail images, which however is challenging due to the skewness/folds of the captured express mail images. This paper presents a robust approach to text extraction from camera captured express mail images. Firstly, the proposed approach use a deep direct regression neural network to predict both the express bill region and type; then the form frame lines and corners are detected, with which the Coherent Point Drift (CPD) based point matching is adopted to obtain the mapping between the template and the input image. Finally, based on the mapping, accurate writing fields can be extracted. The Experiments on realistic express mail images demonstrate the effectiveness of the proposed approach.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yalin Yin and Dahan Wang "Text field extraction from camera-captured express images", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 1137324 (3 January 2020); https://doi.org/10.1117/12.2557470
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT


Back to Top