MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641081132 A) filed by Ramachandra College Of Engineering on July 01, 2026, for Ai-Based Handwritten Text Recognition System.
Inventors include Dr P Sudhakar; S Venkat Swamy; S. Anantha Kranthi; and P V Kishore Kumar.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: An Al-based handwritten text recognition system converts handwritten content into digital text accurately. Scanners or cameras capture handwritten documents, notes, or forms. Image preprocessing techniques remove noise, normalize writing, and segment characters or words. Deep learning algorithms, including convolutional and recurrent neural networks, recognize handwriting patterns. Natural language processing corrects spelling, grammar, and contextual errors. The system supports multiple languages, writing styles, and varying handwriting qualities. Real-time processing allows immediate conversion and digital storage. Integration with document management systems enables seamless archiving and retrieval. Data analytics provide insights into writing patterns and document usage. The system reduces manual data entry effort, errors, and processing time. Historical data enhances model accuracy and recognition reliability. Security and privacy measures protect sensitive information. Scalable deployment supports individual, institutional, or enterprise use. Automated reporting generates summaries or searchable text outputs.
Disclaimer: Curated by HT Syndication.
