Translator Disclaimer
Paper
3 January 2020 Research on the text detection and recognition in natural scene images
Author Affiliations +
Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113730F (2020) https://doi.org/10.1117/12.2557585
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China
Abstract
This paper aims to study the problem of text recognition in complex natural scenes. Now the rapid development of technology makes most of the industry need fast and efficient text recognition tools, such as the logistics industry and publishers. Although traditional OCR technology can solve most simple background text recognition problems, the performance of complex scenes is somewhat unsatisfactory. In this paper, the focus is to extract the text in complex scenes accurately. The algorithm of stroke width transform and Convolution Neural Network is proposed. Using the stroke width transform algorithm for text positioning; And then separate the text line, end to the classifier to identify, through the recognition of the correct rate determine the effectiveness of the algorithm. We evaluate the proposed approach on a widely used dataset. Results show that our method achieves desired result compared with the state-of-the-art methods of the participant team which clearly demonstrate its competency.
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zi-han Wei, Xiao-ping Du, and Lei Cao "Research on the text detection and recognition in natural scene images", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113730F (3 January 2020); https://doi.org/10.1117/12.2557585
PROCEEDINGS
8 PAGES


SHARE
Advertisement
Advertisement
Back to Top