Accurate Personal Identification by Hand Gesture Recognition
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 5
Abstract
Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from face and hand gesture recognition. In this paper, we present an automatic hand gesture recognition approach from different images based on scale invariant feature transform and shape based features. We present an approach for identifying and recognizing different hand sign expression of the human. The objective of the proposed system is to design an approach which automatically detects the hand and identifies the different hand sign expression of the human. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, the feature points or key points detected and mapped along with the hand sign image. Depending upon the selected features and the measured region properties of the human hand sign, the different sign expression of the human was further classified using SVM. The proposed method is superior compared with other state-of-the-art approaches and that the analysis of the general image quality of the hand sign images reveals highly valuable information
Authors and Affiliations
Shilpa K N
Keywords
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