FINGER TRACKING AND RECOGNITION USING OPENCV RASPBERRY PI 3

Tompunu, Alan Novi and Putri, Medyan Permata and Hakim, Lukmanul and Joni, A. Bahri and Zamheri, Zamheri and Rusdyanto, Dedy (2016) FINGER TRACKING AND RECOGNITION USING OPENCV RASPBERRY PI 3. Proceeding Forum in Research, Science, and Technology (FIRST) 2016. ISSN 2461-0739

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Abstract

Raspberry Pi 3 as an embedded system platform supporting the OpenCV library so that it can be used in performing object recognition and detection. Hand movements as innovative and interactive a way of communication can be used to interact with computer by digital image processing and computer vision. This study aimed to track and recognize fingers. Algorithms in this study was divided into three-pre-processing, segmentation and feature extraction. In testing using the Raspberry Pi that remotely accessed, detection and estimation of the number of fingers could be done with an accuracy of 75% and the computing time of 9:20 seconds.

Item Type: Article
Uncontrolled Keywords: pre-processing, image segmentation, feature extraction, contours, convex hull, convexity defects
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: General > Proceeding and Seminar
Depositing User: Administrator EPRINTS POLSRI
Date Deposited: 02 Jun 2017 01:16
Last Modified: 02 Jun 2017 01:16
URI: http://eprints.polsri.ac.id/id/eprint/3589

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