Cursive signature extraction and verification

A. Chalechale; G. Naghdy; P. Premaratne; A. Mertins

Cursive signature extraction and verification

A. Chalechale, G. Naghdy, P. Premaratne, A. Mertins

Institute of Signal Processing

University of Wollongong

Abstract

This paper presents a new approach for document image decomposition and verification based on connected component analysis and geometric properties of labeled regions. The database contains document images with Persian/Arabic text combined with English text, headlines, ruling lines, trademarks and cursive signatures. In particular, Persian/Arabic 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 verification purposes using spatial partitioning of the signature region. Comparative results show the robustness of the proposed method.

Original language	English
Pages	109-113
Number of pages	5
Publication status	Published - 01.07.2004
Event	2nd Int. Workshop on Information Technology an Its Disciplines - Kish Island, Iran, Islamic Republic of Duration: 01.02.2004 → 03.02.2004

Conference

Conference	2nd Int. Workshop on Information Technology an Its Disciplines
Abbreviated title	WITID 2004
Country/Territory	Iran, Islamic Republic of
City	Kish Island
Period	01.02.04 → 03.02.04

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

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https://www.isip.uni-luebeck.de/fileadmin/uploads/tx_wapublications/kish-04.pdf

Cite this

@conference{7e387498759446b084e311377d8e51e2,

title = "Cursive signature extraction and verification",

abstract = "This paper presents a new approach for document image decomposition and verification based on connected component analysis and geometric properties of labeled regions. The database contains document images with Persian/Arabic text combined with English text, headlines, ruling lines, trademarks and cursive signatures. In particular, Persian/Arabic 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 verification purposes using spatial partitioning of the signature region. Comparative results show the robustness of the proposed method. ",

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

year = "2004",

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note = "2nd Int. Workshop on Information Technology an Its Disciplines , WITID 2004 ; Conference date: 01-02-2004 Through 03-02-2004",

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TY - CONF

T1 - Cursive signature extraction and verification

AU - Chalechale, A.

AU - Naghdy, G.

AU - Premaratne, P.

AU - Mertins, A.

PY - 2004/7/1

Y1 - 2004/7/1

N2 - This paper presents a new approach for document image decomposition and verification based on connected component analysis and geometric properties of labeled regions. The database contains document images with Persian/Arabic text combined with English text, headlines, ruling lines, trademarks and cursive signatures. In particular, Persian/Arabic 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 verification purposes using spatial partitioning of the signature region. Comparative results show the robustness of the proposed method.

AB - This paper presents a new approach for document image decomposition and verification based on connected component analysis and geometric properties of labeled regions. The database contains document images with Persian/Arabic text combined with English text, headlines, ruling lines, trademarks and cursive signatures. In particular, Persian/Arabic 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 verification purposes using spatial partitioning of the signature region. Comparative results show the robustness of the proposed method.

UR - https://www.researchgate.net/publication/242084635_CURSIVE_SIGNATURE_EXTRACTION_AND_VERIFICATION

M3 - Conference Papers

SP - 109

EP - 113

T2 - 2nd Int. Workshop on Information Technology an Its Disciplines

Y2 - 1 February 2004 through 3 February 2004

ER -

Cursive signature extraction and verification

Abstract

Conference

UN SDGs

Access to Document

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