ICDAR-2023 - International Conference on Document Analysis and Recognition. San Jose, CA, United States, August 21-26, 2023

The International Conference on Document Analysis and Recognition (ICDAR- 2023) is the premier international event which aims to bring together researchers and practitioners from the allied areas that involved in document analysis and recognition, a field of growing importance in the current age of digital transition.

The 17th edition of this conference was be held in San José, California, USA from August 21-26, 2023.

"OCR Consortium members participation in ICDAR 2023"

OCR Consortium members (IIIT Hyderabad, IIT Delhi, IIT Jodhpur, IIT Bombay, CDAC Noida and Punjabi University) took part in the 17th edition of this conference held in San José, California, USA on August 21-26, 2023, to present their accepted journal track papers with an oral presentation at the conference.

List of Accepted and published journal track papers

• SeamFormer: High Precision Text Line Segmentation for Handwritten Documents ( Niharika Vadlamudi, Rahul Krishna and Ravi Kiran Sarvadevabhatla) IIIT- Hyderabad [ PDF ]
• ICDAR 2023 Competition on Indic Handwriting Text Recognition, International Conference on Document Analysis and Recognition, (Ajoy Mondal and C. V. Jawahar) IIIT- Hyderabad [ PDF ]
• A Dataset for Indic Scene Text Recognition, International Conference on Document Analysis and Recognition (Harsh Lunia, Ajoy Mondal, and C. V. Jawahar) IIIT- Hyderabad [ PDF ]
• Towards Making Flowchart Images Machine Interpretable (Shreya Shukla, Prajwal Gatti, Yogesh Kumar, Vikash Yadav and Anand Mishra) IIT-Jodhpur [ PDF ]
• UTRNet High-Resolution Urdu Text Recognition In Printed Documents (Abdur Rahman, Arjun Ghosh, and Chetan Arora ) IIT-Delhi [ PDF ]
• TACTFUL: A framework for Targeted Active Learning for Document Analysis (Venkatapathy Subramanian, Sagar Poudel, Ganesh Ramakrishnan and Parag Chaudhur ) IIT-Bombay

For more details on 2023 https://icdar2023.org/