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Handwriting Analysis: Applications in Person Identification and Forensic
Book chapter

Handwriting Analysis: Applications in Person Identification and Forensic

Fahimeh Alaei and Alireza Alaei
Breakthroughs in Digital Biometrics and Forensics, pp.147-165
Springer International Publishing, 1st
15/10/2022
DOI: https://doi.org/10.1007/978-3-031-10706-1_7
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Handwriting Analysis: Applications in Person IdentificationView
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Abstract

Artificial intelligence Biometric Forensic Gender detection Handwriting analysis Writer identification
Handwriting is unique to each person, with distinctive features that help to identify and verify different characteristics of the individual. Handwriting analysis has been an area of research for many decades and attracted many researchers from diverse research disciplines, including graphology, psychology, paleography, neurology, forensics, and computer science. This chapter presents recent advances and various signal and image analysis techniques available for writer identification and gender detection from handwriting samples captured by online or offline devices. We discuss different steps commonly involved in person/gender identification systems in the literature, including pre-processing, feature extraction, and classification. Offline and online benchmark datasets used for experiments are further reviewed. This study provides a valuable source of information to students, researchers and practitioners who would like to start research in this field. It also provides future research directions to researchers to further expand research in the domains of person identification and gender detection.

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