A Study on Palmistry Analysis using Deep Learning

Sarmila K B, Hariboobaalan P N, J. P., K. C, Kavin P
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Abstract

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.
基于深度学习的手相分析研究
手相术是一种通过观察一个人的手掌来解读一个人的特征并预测其未来的技巧。它被大多数人相信,并在世界各地使用。它使用手掌的线条、形状、图案、坐垫和指尖位置作为特征进行解释。它自古以来就被使用。它也被称为手相术、手相学和看手相。尽管这项技术不断发展,并被用于所有其他领域,但手相术是一个技术落后且尚未完全实现的领域。大多数研究都集中在手掌的大小、形状、颜色和结构上,很少有研究集中在手掌的线条上,而且也只集中在主要的线条上。在这里,我们试图在深度学习和图像处理算法的帮助下创建一个完全实现的手相应用程序,利用手掌和手掌线条中的所有特征来给出完整的预测结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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