Fingerprint Recognition and Classification

Bouguerra, Mohamed

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DC Field	Value	Language
dc.contributor.author	Bouguerra, Mohamed	-
dc.date.accessioned	2022-06-29T13:09:13Z	-
dc.date.available	2022-06-29T13:09:13Z	-
dc.date.issued	2022	-
dc.identifier.uri	http//localhost:8080/jspui/handle/123456789/4755	-
dc.description.abstract	Biometrics is one of the applications in Image processing that refers to technologies that use physiological or behavioral characteristics of the human body to determine a person's identity. The use of fingerprinting is today one of the most reliable technologies on the market to identify persons in secure systems, this technology is simple to use and easy to implement as opposed to other biometric modalities. This thesis deals with the development of a fingerprint recognition system based on minutiae points for identifying individuals. The software platform used for the implementation of the proposed work is MATLAB 2016a and the database used to perform the tests is the FVC 2002 BD1 database. The proposed system gives satisfactory results for individual identifications	en_US
dc.description.sponsorship	Dr. T. Mekhaznia	en_US
dc.language.iso	en	en_US
dc.publisher	Larbi Tebessi University - Tebessa	en_US
dc.subject	fingerprint; minutiae; binirization; thinning; bifurcation; termination; identification; MATLAB	en_US
dc.subject	بصمة الاصبع ; تفاصيل ; ثنائية ; الهيكل ; التشعب ; النهاية ; تحديد الهوية MATLAB ;	en_US
dc.subject	empreinte digitale ; minutie ; binarisation ; squelettisation ; bifurcation ; terminaison ; identification ; MATLAB	en_US
dc.title	Fingerprint Recognition and Classification	en_US
dc.type	Thesis	en_US
Appears in Collections:	3- إعلام آلي

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