Automatic detection and recognition of Korean text in outdoor signboard images

被引：31

作者：

Park, Jonghyun ^{[1
]}

Lee, Gueesang ^{[1
]}

Kim, Euichul ^{[1
]}

Lim, Junsik ^{[1
]}

Kim, Soohyung ^{[1
]}

Yang, Hyungjeong ^{[1
]}

Lee, Myunghun ^{[1
]}

Hwang, Seongtaek ^{[2
]}

机构：

[1] Chonnam Natl Univ, Sch Elect & Comp Engn, Kwangju, South Korea

[2] Samsung Elect Co Ltd, Telecommun Network Business, Telecommun R&D Ctr, Multimedia Lab, Seoul, South Korea

来源：

PATTERN RECOGNITION LETTERS | 2010年 / 31卷 / 12期

关键词：

Text detection; Text extraction; Text recognition; Text translation; Signboard image; SEGMENTATION; VIDEO;

D O I：

10.1016/j.patrec.2010.05.024

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, an automatic translation system for Korean signboard images is described. The system includes detection and extraction of text for the recognition and translation of shop names into English. It deals with impediments caused by different font styles and font sizes, as well as illumination changes and noise effects. Firstly, the text region is extracted by an edge-histogram, and the text is binarized by clustering. Secondly, the extracted text is divided into individual characters, which are recognized by using a minimum distance classifier. A shape-based statistical feature is adopted, which is adequate for Korean character recognition, and candidates of the recognition results are generated for each character. The final translation step incorporates the database of shop names, to obtain the most probable result from the list of candidates. The system has been implemented in a mobile phone and is demonstrated to show acceptable performance. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：1728 / 1739

页数：12

共 50 条

[41] Automatic discrimination of text images
Alessi, NG
Battiato, S
Gallo, G
Mancuso, M
Stanco, F
SENSORS AND CAMERA SYSTEMS FOR SCIENTIFIC, INDUSTRIAL, AND DIGITAL PHOTOGRAPHY APPLICATIONS IV, 2003, 5017 : 351 - 359
[42] Automatic detection and segmentation of text in low quality Thai sign images
Jirattitichareon, Wittaya
Chalidabhongse, Thanarat H.
2006 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS, 2006, : 1000 - +
[43] Automatic detection and recognition of stationary motorized vehicles in infrared images
Correia, B
Dinis, J
Davies, R
AUTOMATIC TARGET RECOGNITION IX, 1999, 3718 : 140 - 151
[44] A method for automatic score box detection and text recognition in soccer video
Tabii, Youness
Thami, Rachid Oulad Haj
International Review on Computers and Software, 2009, 4 (02) : 188 - 191
[45] Text Recognition from Images
Manwatkar, Pratik Madhukar
Yadav, Shashank H.
2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS), 2015,
[46] Recognition as translating images into text
Barnard, K
Duygulu, P
Forsyth, D
INTERNET IMAGING IV, 2003, 5018 : 168 - 178
[47] Text detection, recognition, and script identification in natural scene images: a Review
Veronica Naosekpam
Nilkanta Sahu
International Journal of Multimedia Information Retrieval, 2022, 11 : 291 - 314
[48] A Framework of Text Detection and Recognition from Natural Images for Mobile Device
Selmi, Zied
Ben Halima, Mohamed
Wali, Ali
Alimi, Adel M.
NINTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2016), 2017, 10341
[49] Semiautomatic Ground Truth Generation for Text Detection and Recognition in Video Images
Trung Quy Phan
Shivakumara, Palaiahnakote
Bhowmick, Souvik
Li, Shimiao
Tan, Chew Lim
Pal, Umapada
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, 24 (08) : 1277 - 1287
[50] Text detection, recognition, and script identification in natural scene images: a Review
Naosekpam, Veronica
Sahu, Nilkanta
INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, 2022, 11 (03) : 291 - 314

← 1 2 3 4 5 →