Scene Text Character Recognition Using Spatiality Embedded Dictionary

Song GAO; Chunheng WANG; Baihua XIAO; Cunzhao SHI; Wen ZHOU; Zhong ZHANG

doi:10.1587/transinf.E97.D.1942

Scene Text Character Recognition Using Spatiality Embedded Dictionary

Song GAO, Chunheng WANG, Baihua XIAO, Cunzhao SHI, Wen ZHOU, Zhong ZHANG

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Summary :

This paper tries to model spatial layout beyond the traditional spatial pyramid (SP) in the coding/pooling scheme for scene text character recognition. Specifically, we propose a novel method to build a dictionary called spatiality embedded dictionary (SED) in which each codeword represents a particular character stroke and is associated with a local response region. The promising results outperform other state-of-the-art algorithms.

Publication: IEICE TRANSACTIONS on Information Vol.E97-D No.7 pp.1942-1946

Publication Date: 2014/07/01

Publicized

Online ISSN: 1745-1361

DOI: 10.1587/transinf.E97.D.1942

Type of Manuscript: LETTER

Category: Image Recognition, Computer Vision

Authors

Song GAO
  Chinese Academy of Sciences
Chunheng WANG
  Chinese Academy of Sciences
Baihua XIAO
  Chinese Academy of Sciences
Cunzhao SHI
  Chinese Academy of Sciences
Wen ZHOU
  Chinese Academy of Sciences
Zhong ZHANG
  Chinese Academy of Sciences

Keyword

scene text character recognition, coding and pooling, spatial pyramid, spatiality embedded dictionary

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Song GAO, Chunheng WANG, Baihua XIAO, Cunzhao SHI, Wen ZHOU, Zhong ZHANG, "Scene Text Character Recognition Using Spatiality Embedded Dictionary" in IEICE TRANSACTIONS on Information, vol. E97-D, no. 7, pp. 1942-1946, July 2014, doi: 10.1587/transinf.E97.D.1942.
Abstract: This paper tries to model spatial layout beyond the traditional spatial pyramid (SP) in the coding/pooling scheme for scene text character recognition. Specifically, we propose a novel method to build a dictionary called spatiality embedded dictionary (SED) in which each codeword represents a particular character stroke and is associated with a local response region. The promising results outperform other state-of-the-art algorithms.
URL: https://globals.ieice.org/en_transactions/information/10.1587/transinf.E97.D.1942/_p

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@ARTICLE{e97-d_7_1942,
author={Song GAO, Chunheng WANG, Baihua XIAO, Cunzhao SHI, Wen ZHOU, Zhong ZHANG, },
journal={IEICE TRANSACTIONS on Information},
title={Scene Text Character Recognition Using Spatiality Embedded Dictionary},
year={2014},
volume={E97-D},
number={7},
pages={1942-1946},
abstract={This paper tries to model spatial layout beyond the traditional spatial pyramid (SP) in the coding/pooling scheme for scene text character recognition. Specifically, we propose a novel method to build a dictionary called spatiality embedded dictionary (SED) in which each codeword represents a particular character stroke and is associated with a local response region. The promising results outperform other state-of-the-art algorithms.},
keywords={},
doi={10.1587/transinf.E97.D.1942},
ISSN={1745-1361},
month={July},}

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TY - JOUR
TI - Scene Text Character Recognition Using Spatiality Embedded Dictionary
T2 - IEICE TRANSACTIONS on Information
SP - 1942
EP - 1946
AU - Song GAO
AU - Chunheng WANG
AU - Baihua XIAO
AU - Cunzhao SHI
AU - Wen ZHOU
AU - Zhong ZHANG
PY - 2014
DO - 10.1587/transinf.E97.D.1942
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E97-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2014
AB - This paper tries to model spatial layout beyond the traditional spatial pyramid (SP) in the coding/pooling scheme for scene text character recognition. Specifically, we propose a novel method to build a dictionary called spatiality embedded dictionary (SED) in which each codeword represents a particular character stroke and is associated with a local response region. The promising results outperform other state-of-the-art algorithms.
ER -