Performance Evaluation of Various Feature Extraction Techniques with Special Reference to Hand Gesture Recognition

2014 ◽  
Author(s):  
Anjali R. Patil ◽  
S. Subbaraman
Keyword(s):  
Feature Extraction ◽  
Performance Evaluation ◽  
Special Reference ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Extraction Techniques

scholarly journals Hand Gesture Recognition using Image Processing and Feature Extraction Techniques

2020 ◽  
Vol 173 ◽  
pp. 181-190
Author(s):  
Ashish Sharma ◽  
Anmol Mittal ◽  
Savitoj Singh ◽  
Vasudev Awatramani
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Gesture Recognition ◽  
Hand Gesture Recognition ◽  
Hand Gesture ◽  
Extraction Techniques

Study on Techniques of Hand Gesture Recognition

2012 ◽  
Vol 241-244 ◽  
pp. 1664-1667
Author(s):  
Shou Fang Mi ◽  
Ling Hua Li
Keyword(s):  
Feature Extraction ◽  
Gesture Recognition ◽  
Dynamic Bayesian Network ◽  
Hand Gesture Recognition ◽  
Support Vector ◽  
Hand Gesture ◽  
Time Warping ◽  
Language Interpretation ◽  
Dynamic Time ◽  
Main Ideas

This paper describes the study of techniques used in hand gesture recognition in sign language interpretation. The study is discussed from two aspects: the process of hand gesture recognition and the techniques of feature extraction in hand gesture recognition. The techniques of feature extraction in hand gesture recognition are grouped into five categories: Hidden Markov Model (HMM), Artificial Neural Networks (ANN), Support Vector Machines (SVM), Dynamic Bayesian Network (DBN), and Dynamic Time Warping (DTW). The main ideas and the application of each technique are described in detail.

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