Offline Handwritten Signature Database based on Gender Annotation
Description
It has been found that the publicly available standard image datasets of handwritten signatures do not have gender annotation. With this motivation, own dataset is created. The nature of this own offline handwritten signature database is described below. • The signature samples are collected from persons with varying ages. These samples consist of multilingual scripts of Kannada, Hindi, Marathi, and English. • Each individual has done 10 signatures on a white A4 paper sheet using blue or black colored ball pen. • To avoid geometrical variations further, the papers with sample signatures have been scanned using the EPSON DS 1630 color scanner with a resolution of 300 DPI. • The database consists of 4,790 signatures, which are acquired from 479 subjects, out of whom 250 are male volunteers and 229 are female volunteers. • All the individuals, who had knowledge of English and other languages, have been educated about the purpose of collection of signature samples. All the Scanned Offline Signatures are in .jpg format, and male signature will start from ‘m’ and female signature will starts from ‘f’.
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The handwritten signature is the most widely accepted behavioral biometric trait for authenticating the documents like letters, contracts, wills, MOU’s, etc. for validation in day to day life. However, it is observed that very less effort is done on gender identification based on offline handwritten signatures. These signatures may contain multilingual texts. Therefore, to bridge this research gap, the proposed database is used to identify writer’s gender from handwritten signatures of individuals with varying ages. • The signature samples are collected from persons with varying ages. These samples consist of multilingual scripts of Kannada, Hindi, Marathi, and English. • Each individual has done 10 signatures on a white A4 paper sheet using blue or black colored ball pen. • To avoid geometrical variations further, the papers with sample signatures have been scanned using the EPSON DS 1630 color scanner with a resolution of 300 DPI. • The database consists of 4,790 signatures, which are acquired from 479 subjects, out of whom 250 are male volunteers and 229 are female volunteers. • All the individuals, who had knowledge of English and other languages, have been educated about the purpose of collection of signature samples.