Text segmentation for automatic document processing

Dinesh P. Mital; Goh Wee Leng

Text segmentation for automatic document processing

Dinesh P. Mital
, Goh Wee Leng

Research output: Contribution to journal › Conference article › peer-review

Abstract

There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.

Original language	American English
Pages (from-to)	30-40
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3651
State	Published - 1999
Externally published	Yes
Event	Proceedings of the 1999 6th Annual Conference on Document Recognition and Retrieval VI - San Jose, CA, USA Duration: Jan 27 1999 → Jan 28 1999

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

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title = "Text segmentation for automatic document processing",

abstract = "There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.",

author = "Mital, \{Dinesh P.\} and Leng, \{Goh Wee\}",

year = "1999",

language = "American English",

volume = "3651",

pages = "30--40",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

issn = "0277-786X",

publisher = "SPIE",

note = "Proceedings of the 1999 6th Annual Conference on Document Recognition and Retrieval VI ; Conference date: 27-01-1999 Through 28-01-1999",

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TY - JOUR

T1 - Text segmentation for automatic document processing

AU - Mital, Dinesh P.

AU - Leng, Goh Wee

PY - 1999

Y1 - 1999

N2 - There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.

AB - There is a considerable interest in designing automatic systems that can scan a given paper document and store it on electronic media for easier storage, manipulation and access. Most documents contain graphics and images, in addition to text. Thus, the document image has to be segmented to identify text and image regions, so that appropriate techniques may be applied to those regions. In this paper, we have presented a new technique for image segmentation in which text and image regions, in a given document image, are automatically identified. The technique is based on the differential processing text extraction concept. The proposed technique is capable of analyzing complex document image layouts. The document image is processed by using textural feature analysis. Results of the proposed method are presented with test images which demonstrate the robustness of the technique.

UR - https://www.scopus.com/pages/publications/0032656134

UR - https://www.scopus.com/pages/publications/0032656134#tab=citedBy

M3 - Conference article

SN - 0277-786X

VL - 3651

SP - 30

EP - 40

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Proceedings of the 1999 6th Annual Conference on Document Recognition and Retrieval VI

Y2 - 27 January 1999 through 28 January 1999

ER -

Text segmentation for automatic document processing

Abstract

ASJC Scopus subject areas

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