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Erschienen in:
A Citation k-NN Approach for Facial Expression Recognition Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Forensic Document Examination: Who Is the Writer?

verfasst von : Aline Maria M. M. Amaral, Cinthia O. de Almendra Freitas, Flávio Bortolozzi, Yandre Maldonado e Gomes da Costa

Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Verlag: Springer International Publishing

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Abstract

This work presents a baseline system to automatic handwriting identification based only on graphometric features. Initially a set composed of 12 features was presented and its extraction process demonstrated. In order to evaluate the efficiency of these features, a selection process was applied, and a smaller group composed only of 4 features (GS = Goodness Subset) present the best writer identification rates. Experiments were conducted in order to evaluate the performance, individually and in group, of the graphometric features; and to identify the number of writers that significantly affect the accuracy of the system. The accuracy of the system applied to 100 different writers taking account the GS features set were 84% (TOP1), 96% (TOP5) and 98% (TOP10). These results are comparable to others in the literature on graphometric features. It can be observed that gradually the relation between the number of writers and accuracy is stabilized, and with 200 writers the results are maintained.

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Metadaten
Titel
Forensic Document Examination: Who Is the Writer?
verfasst von
Aline Maria M. M. Amaral
Cinthia O. de Almendra Freitas
Flávio Bortolozzi
Yandre Maldonado e Gomes da Costa
Copyright-Jahr
2018
Buch
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Print ISBN: 978-3-319-75192-4

Electronic ISBN: 978-3-319-75193-1

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-75193-1_7

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