2nd International Conference on Materials Science and Sustainable Manufacturing Technology
A Study on Palmistry Analysis using Deep Learning
Sarmila K B, Karthikeyan C, Hariboobaalan P N, Kavin P and Jayavardhan P, Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, India.
Palmistry is an artifice of interpreting a person’s characteristics and predicting their future by examining the
palm of their hand. It is believed by most people and used all over the world. It uses palm lines, shapes, patterns, mounts,
and fingertip position as the features for interpretation. It has been used since ancient times. It is also called Chiromancy,
Chirology, and Palm Reading. Even though the technology evolved and is being used in all other fields, Palmistry is a
field where it is lagging behind and not yet fully implemented. Most of the research concentrates on the size, shape,
color, and structure of the palm, very little concentrates on the lines and that too concentrates only on the primary lines.
Here we are attempting to create a fully implemented palmistry application with the help of deep learning and image
processing algorithms, to use all the features in the palm and palm lines to give complete prediction results.
Keywords
Palmistry, Palm Reading, Deep Learning, Image Processing
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Cite this article
Sarmila K B, Karthikeyan C, Hariboobaalan P N, Kavin P and Jayavardhan P, “A Study on Palmistry Analysis using Deep Learning”, Advances in Computational Intelligence in Materials Science, pp. 054-060, May 2023. doi:10.53759/acims/978-9914-9946-9-8_10
