WRITER IDENTIFICATION BASED ON GRAPHOLOGY TECHNIQUES

被引：0
|
作者：
Santana, Omar [1 ]
Travieso, Carlos M. [1 ]
Alonso, Jesus B. [1 ]
Ferrer, Miguel A. [1 ]
机构：
[1] Univ Palmas Gran Canaria, Dpto Senales & Comunicac, Las Palmas Gran Canaria 35017, Spain
来源：
42ND ANNUAL 2008 IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY, PROCEEDINGS | 2008年
关键词：
Biometric Identification; Writer Identification; Graphology Techniques; Artificial Neural Networks (NNs) and Support Vector Machines; (SVMS);
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
In this work an innovative system biometric of writers' identification based in technical expert calligraphic and graphology on the handwritten script is presented. It has been developed working in off-line mode on a Spanish words image database, formed by 29 different individuals. All the extractions of characteristics carried out on the images and that they have been used for the identification, they were carried out by means of the estimate of several elements object using studies of The French Graphology School, and that they are commonly employed by the handwriting experts in judicial matters. The success percentage achieved with 5 of these characteristics from this database of 29 writers is of 99.34%. In new experimentations, with these same parameters and enlarging the database to 70 users, a rate of success of 92% was reached.
引用
收藏
页码：167 / 173
页数：7
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