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Fingerprint Recognition System Using Artifical Neural Network

Автор: Kafayat Adeoye

Език:

Корици: С меки корици

Издател: Grin Publishing

Наличност: Външен склад

Изпращаме след 5-8 дни

43.83 € 85.72 лв

Bachelor Thesis from the year 2017 in the subject Engineering - Computer Engineering, grade: First C...

Информация за книгата

Автор

Kafayat Adeoye

Език

Английски език

Корици

Книга - С меки корици

Издадена

2018

страници

EAN

9783668726161

Enbook ID

20154335

Издател

Grin Publishing

Теглоt

133

Размери

148 x 210 x 5

Пълно описание

Bachelor Thesis from the year 2017 in the subject Engineering - Computer Engineering, grade: First Class, University of Portsmouth, language: English, abstract: This project presents a fingerprint recognition system using neural network. To establish an objective assessment of the proposed neural network algorithm, fingerprint images from National institute of standards and technology (NIST) database were used. Image processing operations were carried out on the fingerprints prior to extracting the minutiae which are set as input into the network for verification or identification of a person. However, these processes are crucial to the performance of the neural network. Back-propagation neural network algorithm called Scaled Conjugate Gradient is used to train the network. The aim of this project is to implement a faster and reliable fingerprint minutiae matching algorithm and the Matlab experimental results show that the network has achieved an excellent performance in pattern recognition. Furthermore, the overall error rate is very minimal and the network generates 93.2% of accuracy for the fingerprint recognition system.

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Fingerprint Recognition System Using Artifical Neural Network

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