Please use this identifier to cite or link to this item:
http://hdl.handle.net/10609/95626
Title: | Human authentication through signature recognition |
Author: | Nàcher Castellet, Víctor |
Tutor: | Serratosa Casanelles, Francesc |
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. |
Keywords: | security signature verification biometrics handwritten |
Document type: | info:eu-repo/semantics/masterThesis |
Issue Date: | Jun-2019 |
Publication license: | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Appears in Collections: | Bachelor thesis, research projects, etc. |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
vinacherTFM0619memory.pdf | Memory of TFM | 4,78 MB | Adobe PDF | View/Open |
Share:
This item is licensed under a Creative Commons License