Hand Gesture Recognition Using PCA, KNN and SVM

Authors(4) :-Julakanti Likhitha Reddy, Bhavya Mallela, Lakshmi Lavanya Bannaravuri, Kotha Mohan Krishna

To interact with world using expressions or body movements is comparatively effective than just speaking. Gesture recognition can be a better way to convey meaningful information. Communication through gestures has been widely used by humans to express their thoughts and feelings. Gestures can be performed with any body part like head, face, hands and arms but most predominantly hand is use to perform gestures, Hand Gesture Recognition have been widely accepted for numerous applications such as human computer interactions, robotics, sign language recognition, etc. This paper focuses on bare hand gesture recognition system by proposing a scheme using a database-driven hand gesture recognition based upon skin color model approach and thresholding approach along with an effective template matching with can be effectively used for human robotics applications and similar other applications .Initially, hand region is segmented by applying skin color model in YCbCr color space. Y represents the luminance and Cb and Cr represents chrominance. In the next stage Otsu thresholding is applied to separate foreground and background. Finally, template based matching technique is developed using Principal Component Analysis (PCA), k-nearest neighbour (KNN) and Support Vector Machine (SVM) for recognition. KNN is used for statistical estimation and pattern recognition. SVM can be used for classification or regression problems.

Authors and Affiliations

Julakanti Likhitha Reddy
B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
Bhavya Mallela
B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
Lakshmi Lavanya Bannaravuri
B-Tech, Department of CSE, VVIT, Guntur, Andhra Pradesh, India
Kotha Mohan Krishna
Associate Professor, Department of CSE, VVIT, Guntur, Andhra Pradesh, India

Hand, Gesture, Recognition, Segmentation.

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Publication Details

Published in : Volume 5 | Issue 2 | March-April 2019
Date of Publication : 2019-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 547-550
Manuscript Number : CSEIT1952100
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Julakanti Likhitha Reddy, Bhavya Mallela, Lakshmi Lavanya Bannaravuri, Kotha Mohan Krishna, "Hand Gesture Recognition Using PCA, KNN and SVM", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.547-550, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952100
Journal URL : http://ijsrcseit.com/CSEIT1952100

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