Abstract: Shape matching is one of the more significant research topics in the fields of computer vision, pattern recognition and machine learning.
In this paper, we present our effort on using linear projection methods for static hand sign recognition in Malaysian. Sign Language. PCA and LPP methods ...
This paper presents the effort on using linear projection methods for static hand sign recognition in Malaysian Sign Language using PCA and LPP methods used ...
In this paper, we present our effort on using linear projection methods for static hand sign recognition in Malaysian sign language. PCA and LPP methods ...
Gamage, N., Kuang, Y. C., & Akmeliawati, R. (2009). Static hand sign recognition using linear projection methods. In S. C. Mukhopadhyay, & G. S. Gupta (Eds.), ...
Here in this paper will use PCA and LDA for hand gesture recognition. The use of local Gabor filter helps in reducing the redundant data.
A method of grouping and classifying hand gestures step by step by using the information of the quantity, direction, position and shape of the outstretched ...
In WiASL, we merge the amplitudes and phases to detect the signal segments containing micro-motions, extract features using the Attention-based Weighted Linear ...
Missing: projection | Show results with:projection
Aug 29, 2023 · The proposed hand gesture recognition methodology uses Self Organizing Map (SOM) with Deep Convolutional Neural Network (DCNN) provides better results with ...
Missing: projection | Show results with:projection
In this paper, we present our effort on using linear projection methods for static hand sign recognition in Malaysian Sign Language. PCA and LPP methods ...