A Hybrid Approach to Gesture Recognition with Biometric Security

Over the last few years, face and hand gesture recognition systems are applied in various applications similarly control systems, communications, human-computer interaction, and biometric-based security applications. Particularly, most of the innovations have been done for human-computer interaction using gesture recognition wherein non-verbal communication is a key research domain. However, it needs to be developed an appropriate method for non-verbal communication. In this research, a hybrid method is developed for creating more interactive nonverbal communication applications by combining facial and hand gesture recognition. Nonverbal communication applications that are interactive. The facial features are extracted using a support vector machine and a blaze palm can be implemented for gesture identification where the skin tone and palm detections are involved for better classification and formation of non-verbal communication. The proposed method is compared with recent existing methods, and it provides better results in terms of accuracy and more recognition capability.