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International Journal on Document Analysis and Recognition (IJDAR)

Ausgabe 1-2/2021

Special Section: Graphics Recognition

Inhalt (10 Artikel)

Editorial

Deep learning for graphics recognition: document understanding and beyond

Jean-Christophe Burie, Alicia Fornés, K. C. Santosh, Muhammad Muzzamil Luqman

Open Access Special Issue Paper

Arrow R-CNN for handwritten diagram recognition

Bernhard Schäfer, Margret Keuper, Heiner Stuckenschmidt

Original Paper

Knowledge-driven description synthesis for floor plan interpretation

Shreya Goyal, Chiranjoy Chattopadhyay, Gaurav Bhatnagar

Special Issue Paper

Cross-modal photo-caricature face recognition based on dynamic multi-task learning

Zuheng Ming, Jean-Christophe Burie, Muhammad Muzzamil Luqman

Special Issue Paper

CNN-based segmentation of speech balloons and narrative text boxes from comic book page images

Arpita Dutta, Samit Biswas, Amit Kumar Das

Original Paper

Combination of deep neural networks and logical rules for record segmentation in historical handwritten registers using few examples

Solène Tarride, Aurélie Lemaitre, Bertrand Coüasnon, Sophie Tardivel

Original Paper

Offline script recognition from handwritten and printed multilingual documents: a survey

Deepak Sinwar, Vijaypal Singh Dhaka, Nitesh Pradhan, Saumya Pandey

Original Paper

Text recognition for Vietnamese identity card based on deep features network

Duc Phan Van Hoai, Huu-Thanh Duong, Vinh Truong Hoang

Original Paper

Persian handwritten digit, character and word recognition using deep learning

Mahdi Bonyani, Simindokht Jahangard, Morteza Daneshmand