Bangla/English script identification based on analysis of connected component profiles

Lijun Zhou; Yue Lu; Chew Lim Tan

doi:10.1007/11669487_22

Bangla/English script identification based on analysis of connected component profiles

Lijun Zhou^*
, Yue Lu
, Chew Lim Tan

^*Corresponding author for this work

School of Communication and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

64 Scopus citations

Abstract

Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.

Original language	English
Title of host publication	Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings
Publisher	Springer Verlag
Pages	243-254
Number of pages	12
ISBN (Print)	3540321403, 9783540321408
DOIs	https://doi.org/10.1007/11669487_22
State	Published - 2006
Event	7th International Workshop on Document Analysis Systems, DAS 2006 - Nelson, New Zealand Duration: 13 Feb 2006 → 15 Feb 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3872 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Document Analysis Systems, DAS 2006
Country/Territory	New Zealand
City	Nelson
Period	13/02/06 → 15/02/06

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10.1007/11669487_22

Cite this

Zhou, L., Lu, Y., & Tan, C. L. (2006). Bangla/English script identification based on analysis of connected component profiles. In Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings (pp. 243-254). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3872 LNCS). Springer Verlag. https://doi.org/10.1007/11669487_22

Zhou, Lijun ; Lu, Yue ; Tan, Chew Lim. / Bangla/English script identification based on analysis of connected component profiles. Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. Springer Verlag, 2006. pp. 243-254 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{ca609c9ed6744224abcc57969d4083d1,

title = "Bangla/English script identification based on analysis of connected component profiles",

abstract = "Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.",

author = "Lijun Zhou and Yue Lu and Tan, \{Chew Lim\}",

year = "2006",

doi = "10.1007/11669487\_22",

language = "英语",

isbn = "3540321403",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "243--254",

booktitle = "Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings",

address = "德国",

note = "7th International Workshop on Document Analysis Systems, DAS 2006 ; Conference date: 13-02-2006 Through 15-02-2006",

}

Zhou, L, Lu, Y & Tan, CL 2006, Bangla/English script identification based on analysis of connected component profiles. in Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3872 LNCS, Springer Verlag, pp. 243-254, 7th International Workshop on Document Analysis Systems, DAS 2006, Nelson, New Zealand, 13/02/06. https://doi.org/10.1007/11669487_22

Bangla/English script identification based on analysis of connected component profiles. / Zhou, Lijun; Lu, Yue; Tan, Chew Lim.
Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. Springer Verlag, 2006. p. 243-254 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3872 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Zhou, Lijun

AU - Lu, Yue

AU - Tan, Chew Lim

PY - 2006

Y1 - 2006

N2 - Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.

AB - Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.

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U2 - 10.1007/11669487_22

DO - 10.1007/11669487_22

M3 - 会议稿件

AN - SCOPUS:33745548998

SN - 3540321403

SN - 9783540321408

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 243

EP - 254

BT - Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings

PB - Springer Verlag

T2 - 7th International Workshop on Document Analysis Systems, DAS 2006

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ER -

Zhou L, Lu Y, Tan CL. Bangla/English script identification based on analysis of connected component profiles. In Document Analysis Systems VII - 7th International Workshop, DAS 2006, Proceedings. Springer Verlag. 2006. p. 243-254. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11669487_22

Bangla/English script identification based on analysis of connected component profiles

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