MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025079 A) filed by Nri Institute Of Technology; Mr. S. Sai Teja; Ms. P. Akhila; Mr. P. Rajesh; Mr. Syed Mahamoodul Hasan Quadri; and Mr. K. V. Narendra, Eluru, Andhra Pradesh, on March 3, for 'a study on palmistry analysis & palmprint recognition using deep learning architectures.'
Inventor(s) include Mr. S. Sai Teja; Ms. P. Akhila; Mr. P. Rajesh; Mr. Syed Mahamoodul Hasan Quadri; and Mr. K. V. Narendra.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning-based intelligent palmistry analysis system designed to automate traditional palm reading using advanced Convolutional Neural Networks (CNN) and computer vision techniques. Unlike earlier machine learning-based approaches, the proposed system leverages CNN architectures for accurate gender classification and hand dominance detection, thereby enhancing analytical precision. Palm images are initially preprocessed to improve clarity and remove noise, followed by OpenCV-based edge detection and line transformation algorithms to extract significant palm features. The system specifically identifies and analyzes major palm lines, including the Life Line, Head Line, and Heart Line, by detecting their structure, curvature, and intersections. These extracted features are integrated with deep learning-based classification models to generate structured analytical outputs. By combining palm line segmentation with CNN-driven predictive modeling, the invention provides a comprehensive, scalable, and automated palmistry solution. The system reduces human subjectivity, enhances consistency, and offers potential applications in biometric identification and personality assessment."
Disclaimer: Curated by HT Syndication.
