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Title: Human authentication through signature recognition
Author: Nàcher Castellet, Víctor
Tutor: Serratosa Casanelles, Francesc
Keywords: security
signature verification
Issue Date: Jun-2019
Publisher: Universitat Oberta de Catalunya (UOC)
Abstract: This dissertation describes a signature verification algorithm based on k-nearest neighbours and Levenshtein distance. It is a simple on-line method for classifying handwritten signatures into either genuines or forgeries. Forgery consists on imitating a signature, a document, a banknote or a valued work. It is considered a crime in most countries and it still remains a major problem in nowadays banking. In first place, a brief introduction to the history of biometric systems and handwritten signatures is made. After explaining the state of the art of the field the used well-known methods are explained. Then the used datased is showed and our algorithm presented and implemented.
Language: English
Appears in Collections:Bachelor thesis, research projects, etc.

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