Human Hand Gesture Recognition

Authors

Usama Sayed, Department of Electrical Engineering, Faculty of Engineering, Assiut University, P.O. Box 71516 Assiut, EgyptFollow
Mahmoud A. Mofaddel, Department of Math and Computer Science, Faculty of Science, Sohag University, P.O. Box 82524 Sohag, EgyptFollow
Samy Bakheet, Department of Math and Computer Science, Faculty of Science, Sohag University, P.O. Box 82524 Sohag, EgyptFollow
Zenab El-Zohry, Department of Math and Computer Science, Faculty of Science, Sohag University, P.O. Box 82524 Sohag, EgyptFollow

Abstract

A Human Computer Interaction(HCI) between computers and human understands human language and improve a user friendly interface. Gestures a non-verbal form of communication supplies the HCI interface. The aim of gesture recognition is to make a system which can recognize specific-human gestures and employ them to convey information or for device control. Real-time visionbased hand gesture recognition is attempting to be more and more suitable for HCI with the assistance of the latest advances in the area of computer vision and pattern recognition. The gesture will able to reduce the use of most Prominent hardware devices which are used to control the activities of the computer. In this paper we introduces a mechanism for human computer interaction utilizing open source OpenCV. The proposed algorithm consists of preprocessing, segmentation and feature extraction.In segmentation we are used threshold BINARY-INV+threshold OTSU.Then make use of contours, convex hull and convexity defects to find the hand gesture.The hand gesture images are captured by a camera. That is used as the input to the algorithm. The proposed algorithm is able to recognize the number of fingers present in the hand gesture.

Recommended Citation

Sayed, Usama; A. Mofaddel, Mahmoud; Bakheet, Samy; and El-Zohry, Zenab (2018) "Human Hand Gesture Recognition," Information Sciences Letters: Vol. 7 : Iss. 3 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol7/iss3/1