Research on the text detection and recognition in natural scene images

Zi-han Wei; Xiao-ping Du; Lei Cao

doi:10.1117/12.2557585

3 January 2020 Research on the text detection and recognition in natural scene images

Zi-han Wei, Xiao-ping Du, Lei Cao

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available