Presentation 2013-01-23
Character String Extraction from Scene Images Using Direction Distribution of Edge Components and their Spatial Arrangements
Hideki KITADA, Toru WAKAHARA,
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Abstract(in English) This paper proposes a method for character string extraction from scene images using direction distri-bution of edge components and their spatial arrangements. First, we detect edge components using Canny operator as applied to individual RGB channels. Second, we extract character strings based on spatial arrangements of edge components. Third, we extract isolated characters using direction distribution features of edge components. Finally, we extract concatenated characters based on tentative segmentation into character-like components and evaluation of character likeness. Experimental results made on a total of 249 images extracted from ICDAR2003 dataset show that the proposed method achieves a recall rate of 67.6%, a precision rate of 62.9%, and a F measure of 65.1%.
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Keyword(in English) Text Localization / Color Scene Images / Direction Distribution of Edge Components
Paper # PRMU2012-85,MVE2012-50
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Committee MVE
Conference Date 2013/1/16(1days)
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Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Character String Extraction from Scene Images Using Direction Distribution of Edge Components and their Spatial Arrangements
Sub Title (in English)
Keyword(1) Text Localization
Keyword(2) Color Scene Images
Keyword(3) Direction Distribution of Edge Components
1st Author's Name Hideki KITADA
1st Author's Affiliation Graduate School of Computer and Information Sciences, Hosei University()
2nd Author's Name Toru WAKAHARA
2nd Author's Affiliation Graduate School of Computer and Information Sciences, Hosei University
Date 2013-01-23
Paper # PRMU2012-85,MVE2012-50
Volume (vol) vol.112
Number (no) 386
Page pp.pp.-
#Pages 6
Date of Issue