MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641073017 A) filed by Saveetha Institute Of Medical And Technical Sciences on June 12, 2026, for Digital Cheiloscopy Indentification(dci).
Inventors include Ranjana. N. I; T. N. Uma Maheswari; and Deepak Nallaswamy Veeraiyan.
The application for the patent was published on June 26, 2026, under issue no. 26/2026.
Abstract: The present invention relates to a digital system and method for human identification based on lip morphology, particularly within the field of forensic odontology and biometric analysis. The invention utilizes an intraoral scanning device to capture high-resolution three-dimensional images of the lip surface. The scanned data are converted into a Standard Tessellation Language (STL) file representing the detailed topography of lip grooves and wrinkle patterns present on the vermilion border. The generated STL file is processed through a computational system that extracts morphological features of the lip pattern. These features are analysed using artificial intelligence and machine learning algorithms trained on datasets of lip scans from known individuals. The trained model is capable of recognizing unique structural characteristics of lip patterns and distinguishing between different individuals. During the identification process, a newly captured lip scan is converted into an STL file and analysed by the artificial intelligence system. The extracted features are compared with stored lip pattern datasets within a digital database to determine whether the scanned lip corresponds to a previously registered individual. The proposed system provides an automated and digital approach for lip print identification, reducing the limitations associated with traditional lip print collection methods. By integrating three-dimensional scanning technology with artificial intelligence-based pattern recognition, the invention improves the accuracy, reproducibility, and efficiency of lip print analysis for forensic identification and biometric authentication applications.
Disclaimer: Curated by HT Syndication.
