MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641050551 A) filed by Dr Neelam Sanjeev Kumar; Ankit Sharma; Owais Kadri; Surya Amrit; and Yogesh Chaudhary on April 21, 2026, for Automated Dysgraphia Screening In Indic Scripts Via Topological Skeletonization And Structural Integ.
Inventors include Dr Neelam Sanjeev Kumar; Ankit Sharma; Owais Kadri; Surya Amrit; and Yogesh Chaudhary.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Digital Graphologist is a Streamlit-based prototype for structure-focused computer vision analysis of handwritten Devanagari script to identify early signs of dysgraphia. Unlike standard Optical Character Recognition (OCR) systems that prioritize text readability, the proposed system evaluates the geometric stability of handwriting formation. The system analyzes two core structural features ofDevanagari script: the continuity of the Shirorekha (headline) and the spatial attachment of consonant bodies and modifiers. Through preprocessing, skeletonization, connected-component analysis, and heuristic rule evaluation, the system computes a quantitative Structural Integrity Score ranging from 0 to 100. The application also provides explainable visual outputs, including a skeletonized "X-ray" view of the handwriting and red bounding boxes to highlight detected structural breaks and floating components. The invention offers a low-cost, accessible, and transparent screening tool for educational settings, enabling early identification of handwriting instability and related motorspatial difficulties in vernacular contexts.
Disclaimer: Curated by HT Syndication.
