Information Access from Document Images of Indian languages
Implementing Organization
International Institute of Information Technology (IIIT), Hyderabad
Principal Investigator
Prof. Prabir Kumar Biswas
Professor and Head,, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology (IIT), Kharagpur
CO-Principal Investigator
Prof. Jayanta Mukhopadhyay
Professor,, Department of, Computer Science and Engineering, Indian Institute of Technology (IIT), Kharagpur, Prof. Santanu Chaudhury, CEERI Pilani, Prof. Bhabotosh Chanda, Professor, Electronics and Communication Sciences Unit, Indian Statistical Institute (ISI), Kolkata, Prof. Shamik Sural, Dept. of CSE, IIT Kharagpur, Dr. C. V. Jawahar, IIIT Hyderabad
Project Overview
Development content aware image processing algorithms for robust and efficient recognition and retrieval from Indian language document images is proposed. Our image processing algorithms aim at improving the quality of document images by removing the noise and low resolution artifacts by adopting content aware shape-based morphological filters. A set of recognizers will be built using state of the art machine learning techniques such as deep learning for handwritten, typewritten and low resolution document images where the existing technologies are insufficient. For hard and noisy handwritten documents, we propose holistic keyword spotting techniques to reduce search space and complement the recognition based approaches. We will also build and demonstrate information access and retrieval schemes over a joint space of image features and noisy text, so as to enable a set of immediate practical applications. The methods will be validated on two different focussed collections during the project.
International Institute of Information Technology (IIIT), Hyderabad
Accessibility Controls