Fingertip detection using histogram of gradients and support vector machine

• 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/60111/1/60111_Fingertip%20Detection%20Using%20Histogram.pdf; http://irep.iium.edu.my/60111/7/Fingertip%20detection%20using%20histogram%20of%20gradients%20and%20support%20vector%20machine.pdf; http://irep.iium.edu.my/60111/; http://www.iaesjournal.com/online/index.php/IJEECS/article/view/17162

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...