A set of geometrical features for writer identification

المؤلف	Hassane A.
المؤلف	Al-Maadeed, Somaya
المؤلف	Bouridane A.
تاريخ الإتاحة	2022-05-19T10:23:16Z
تاريخ النشر	2012
اسم المنشور	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
المصدر	Scopus
المعرّف	http://dx.doi.org/10.1007/978-3-642-34500-5_69
معرّف المصادر الموحد	http://hdl.handle.net/10576/31167
الملخص	Writer identification is an important field in the forensic document examination. We propose in this paper a set of geometrical features that makes it possible to characterize writers. They include directions, curvatures and tortuosities. We show how these features can be combined with edge based directional features as well as chain code based features. Evaluation of the method is performed on the IAM handwriting database.
اللغة	en
الناشر	Springer
الموضوع	Forensic Document Examination Handwriting curvatures Handwriting directions Handwriting tortuosities Writer identification Artificial intelligence Data processing
العنوان	A set of geometrical features for writer identification
النوع	Conference Paper
الصفحات	584-591
رقم العدد	PART 5
رقم المجلد	7667 LNCS

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