Abstract
Palmistry, also known as palm reading or hand prediction, is the study of a person's personality, fortune, and future by examining his or her hands. Chiromancy is another name for it. Palmistry encompasses not just the reading of one's hand or palm, but also the reading of one's arm, finger, and fingernail. This system shows a digital image processing application that can be used in palmistry to predict people's personalities or future lives. Based on edge detection and recognition, a palmistry prediction system has been created. This developed system uses morphological operations as well. The system uses a decision tree classifier algorithm to identify specific features in the input images and extract principal lines from a human palm image. The most important line patterns in palmistry are summarised and used as models for fortune-telling palm reading. The model predicts a person's personality and displays the predictions based on palmistry knowledge and date of birth.
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