An Approach to Pattern Recognition for Identification of Devnagari Script Based on Fingertips and Palm

Abstract In this paper, we present an finger point based signed language symbol to text identification and classification algorithm that is based upon RGB image datasets. The palm sized images based upon different sizes, backgrounds, orientation are captured to be preprocessed as per the requirement...

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Bibliographic Details
Published in:	Journal of physics. Conference series 2022-08, Vol.2327 (1), p.12032
Main Authors:	Tantarpale, Ms. Sharvari, Deshmukh, C. N.
Format:	Article
Language:	eng
Subjects:	Algorithms Artificial neural networks classification convolution Devanagri Image classification Image processing Machine learning Pattern recognition
Online Access:	Get full text
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Summary:	Abstract In this paper, we present an finger point based signed language symbol to text identification and classification algorithm that is based upon RGB image datasets. The palm sized images based upon different sizes, backgrounds, orientation are captured to be preprocessed as per the requirements of developing a convolution neural network based algorithm. This algorithm utilizes Alexnet for the preprocessing requisites where in 47 symbols of Devanagari script are augmented based on the reference rulebook created for our requirements as highlighted in the paper. At the primary level this algorithm provides an excellent classification rate which promises upliftment for our research in the upcoming future. We have provided detailed steps and discussion on the classification parameters considered for our algorithm which is implemented on MATLAB platform with the help of machine learning solution libraries.
ISSN:	1742-6588 1742-6596