Automatic detection and recognition of Korean text in outdoor signboard images

Authors:
Jonghyun Park;Gueesang Lee;Euichul Kim;Junsik Lim;Soohyung Kim;Hyungjeong Yang;Myunghun Lee;Seongtaek Hwang
Affiliations:
School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;School of Electronics and Computer Engineering, Chonnam National University, Republic of Korea;Multimedia Lab., Telecommunication R&D Center, Telecommunication Network Business, Samsung Electronics Co. Ltd., Republic of Korea
Venue:
Pattern Recognition Letters
Year:
2010

Citing 15
Cited 1

On the color image segmentation algorithm based on the thresholding and the fuzzy C-means techniques

Pattern Recognition
Twenty Years of Document Image Analysis in PAMI

IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision: A Modern Approach

Computer Vision: A Modern Approach
Smart Sight: A Tourist Assistant System

ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Localization, Extraction and Recognition of Text in Telugu Document Images

ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Document Image Recognition Based on Template Matching of Component Block Projections

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Text Location in Images and Video Frames

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Improved Text-Detection Methods for a Camera-based Text Reading System for Blind Persons

ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Local Fisher discriminant analysis for supervised dimensionality reduction

ICML '06 Proceedings of the 23rd international conference on Machine learning
Text segmentation in color images using tensor voting

Image and Vision Computing
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis

The Journal of Machine Learning Research
Text detection and restoration in natural scene images

Journal of Visual Communication and Image Representation
Detection of text on road signs from video

IEEE Transactions on Intelligent Transportation Systems
Classification of handprinted Kanji characters by the structured segment matching method

Pattern Recognition Letters
Automatic text detection and tracking in digital video

IEEE Transactions on Image Processing

A novel ring radius transform for video character reconstruction

Pattern Recognition

Quantified Score

Hi-index	0.10

Visualization

Abstract

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.