Signature-based document retrieval

A. Chalechale; G. Naghdy; A. Mertins

doi:10.1109/ISSPIT.2003.1341191

Signature-based document retrieval

A. Chalechale, G. Naghdy, A. Mertins

Institute of Signal Processing

University of Wollongong

Abstract

This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labeled regions. The database contains document images with Arabic/Persian text combined with English text, headlines, ruling lines, trademark and signature. In particular, Arabic/Persian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angular-radial partitioning of the signature region. Experimental results show the robustness of the proposed method.

Original language	English
Title of host publication	Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)
Number of pages	4
Publisher	IEEE
Publication date	01.01.2003
Pages	597-600
ISBN (Print)	0-7803-8292-7
DOIs	https://doi.org/10.1109/ISSPIT.2003.1341191
Publication status	Published - 01.01.2003
Event	3rd IEEE International Symposium on Signal Processing and Information Technology - Maritim Rhein/Main Hotel, Darmstadt, Germany Duration: 14.12.2003 → 17.12.2003 Conference number: 114394

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISSPIT.2003.1341191

Cite this

@inproceedings{b3e0d9b3055c497292d502aa6f5c360c,

title = "Signature-based document retrieval",

abstract = "This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labeled regions. The database contains document images with Arabic/Persian text combined with English text, headlines, ruling lines, trademark and signature. In particular, Arabic/Persian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angular-radial partitioning of the signature region. Experimental results show the robustness of the proposed method.",

author = "A. Chalechale and G. Naghdy and A. Mertins",

year = "2003",

month = jan,

day = "1",

doi = "10.1109/ISSPIT.2003.1341191",

language = "English",

isbn = "0-7803-8292-7",

series = "IEEE Proceedings",

publisher = "IEEE",

pages = "597--600",

booktitle = "Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)",

note = "3rd IEEE International Symposium on Signal Processing and Information Technology <br/>, ISSPIT 2003 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Chalechale, A, Naghdy, G & Mertins, A 2003, Signature-based document retrieval. in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795). IEEE Proceedings, IEEE, pp. 597-600, 3rd IEEE International Symposium on Signal Processing and Information Technology
, Darmstadt, Hesse, Germany, 14.12.03. https://doi.org/10.1109/ISSPIT.2003.1341191

TY - GEN

T1 - Signature-based document retrieval

AU - Chalechale, A.

AU - Naghdy, G.

AU - Mertins, A.

N1 - Conference code: 114394

PY - 2003/1/1

Y1 - 2003/1/1

N2 - This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labeled regions. The database contains document images with Arabic/Persian text combined with English text, headlines, ruling lines, trademark and signature. In particular, Arabic/Persian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angular-radial partitioning of the signature region. Experimental results show the robustness of the proposed method.

AB - This paper presents a new approach for document image decomposition and retrieval based on connected component analysis and geometric properties of the labeled regions. The database contains document images with Arabic/Persian text combined with English text, headlines, ruling lines, trademark and signature. In particular, Arabic/Persian signature extraction is investigated using special characteristics of the signature that is fairly different from English signatures. A set of efficient, invariant and compact features is extracted for validation purposes using angular-radial partitioning of the signature region. Experimental results show the robustness of the proposed method.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-50649094162&origin=inward&txGid=581a7e65e5765e2143739a29f5adf8dd

U2 - 10.1109/ISSPIT.2003.1341191

DO - 10.1109/ISSPIT.2003.1341191

M3 - Conference contribution

SN - 0-7803-8292-7

T3 - IEEE Proceedings

SP - 597

EP - 600

BT - Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)

PB - IEEE

T2 - 3rd IEEE International Symposium on Signal Processing and Information Technology <br/>

Y2 - 14 December 2003 through 17 December 2003

ER -

Signature-based document retrieval

Abstract

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this