Fingertip detection using histogram of gradients and support vector machine

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Fingertip detection using histogram of gradients and support vector machine

One important application in computer vision is detection of objects. This paper discusses detection of fingertips by using Histogram of Gradients (HOG) as the feature descriptor and Support Vector Machines (SVM) as the classifier. The SVM is trained to produce a classifier that is able to distingui...

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Bibliographic Details
Main Authors:	Sophian, Ali, Awang Za’aba, Dayang Qurratu’aini
Format:	Article
Language:	English English
Published:	Institute of Advanced Engineering and Science 2017
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://irep.iium.edu.my/60111/ http://irep.iium.edu.my/60111/1/60111_Fingertip%20Detection%20Using%20Histogram.pdf http://irep.iium.edu.my/60111/7/Fingertip%20detection%20using%20histogram%20of%20gradients%20and%20support%20vector%20machine.pdf

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