Writer identification based on graphology techniques

Author

Santana, Omar ; Travieso, Carlos M. ; Alonso, Jesús B. ; Ferrer, Miguel A.

Author_Institution

Dipt. de Senales y Comun., Univ. de Las Palmas de Gran Canaria, Las Palmas, Spain

Volume

25

Issue

6

fYear

2010

fDate

6/1/2010 12:00:00 AM

Firstpage

35

Lastpage

42

Abstract

Herein, an innovative system biometric of specific writers´ identification based on technical expert calligraphic and graphology on handwritten script is presented. It has been developed working in the off-line mode on a Spanish words image database, formed by 29 different individuals. All extractions of characteristics carried out on the images have been used for the identification and were carried out by means of the estimate of several elements objects using studies from The French Graphology School. They are commonly employed by handwriting experts in judicial matters. The success percentage achieved with five of these characteristics from this database of 29 writers is 99.34%. In new experimentation, with these same parameters and enlarging the database to 70 users, a success rate of 92% was reached.

Keywords

feature extraction; handwriting recognition; image recognition; text analysis; visual databases; word processing; French Graphology School; Spanish word image database; characteristics extractions; graphology technique; handwritten script; system biometric; technical expert calligraphic; writer identification; Authentication; Biometrics; Handwriting recognition; Identification of persons; Image databases;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems Magazine, IEEE

Publisher

ieee

ISSN

0885-8985

Type

jour

DOI

10.1109/MAES.2010.5525319

Filename

5525319