Detecting multilingual text in natural scene

Detecting multilingual text in natural scene

In this paper, a multilingual text detection method is proposed, which focus on finding all of the text regions in natural scene regardless of their language type. According to rules of writing system, three different texture features are selected to describe the multilingual text: histogram of orie...

Full description

Saved in:
Bibliographic Details
Published in:2011 1st International Symposium on Access Spaces (ISAS) pp. 116 - 120
Main Authors: Gang Zhou, Yuehu Liu, Quan Meng, Yuanlin Zhang
Format: Conference Proceeding
Language:English
Published: IEEE 01-06-2011
Subjects:
Conferences
Feature extraction
Histograms
HOG
LBP
multilingual
Pattern recognition
Robustness
scene text detection
Training
Writing
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a multilingual text detection method is proposed, which focus on finding all of the text regions in natural scene regardless of their language type. According to rules of writing system, three different texture features are selected to describe the multilingual text: histogram of oriented gradient (HOG), mean of gradients (MG) and local binary patterns (LBP). Finally, cascade AdaBoost classifier is adopted to combine the influence of different features to decide the text regions. Experiments conducted on the public English dataset and the multilingual text dataset show that the proposed method is encouraging.
ISBN:1457707160
9781457707162
DOI:10.1109/ISAS.2011.5960931