The latest advances and developments in the field of document recognition are comprehensively presented in this extensive book. Camera-captured documents, natural scene images and videos have emerged as the new-age document recognition media due to the development of new media and internet. With the advent of low-priced digital cameras/recorders, they seem to get widely recognized while scanned paper documents were the only recognition target earlier. Advancements in novel techniques such as distinction of characters from non-characters, quick retrieval techniques from large-scaled scanned documents, character detection from complex backgrounds, unconstrained handwriting recognition and multi-lingual OCR among many others have led to breakthroughs in this field. This book serves the objective of presenting new ideas, latest developments and applications of crucial importance in document understanding and recognition. It presents technical topics such as feature classification or extraction, image processing and novel applications such as character-based natural scene analysis and camera-based recognition. This book aims to serve as a valuable reference for academic research and assist professionals in the field of document recognition and understanding.
The latest advances and developments in the field of document recognition are comprehensively presented in this extensive book. Camera-captured documents, natural scene images and videos have emerged as the new-age document recognition media due to the development of new media and internet. With the advent of low-priced digital cameras/recorders, they seem to get widely recognized while scanned paper documents were the only recognition target earlier. Advancements in novel techniques such as distinction of characters from non-characters, quick retrieval techniques from large-scaled scanned documents, character detection from complex backgrounds, unconstrained handwriting recognition and multi-lingual OCR among many others have led to breakthroughs in this field. This book serves the objective of presenting new ideas, latest developments and applications of crucial importance in document understanding and recognition. It presents technical topics such as feature classification or extraction, image processing and novel applications such as character-based natural scene analysis and camera-based recognition. This book aims to serve as a valuable reference for academic research and assist professionals in the field of document recognition and understanding.
1. This book constitutes the refereed proceedings of the 4th Workshop on Document Analysis and Recognition, DAR 2018, held in Conjunction with ICVGIP 2018, in Hyderabad, India,...
The compendium presents the latest results of the most prominent competitions held in the field of Document Analysis and Text Recognition. It includes a description of the participating systems and...
This four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021,...
This six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR...
to Document Analysis and Recognition.- Structure Extraction in Printed Documents Using Neural Approaches.- Machine Learning for Reading Order Detection in Document Image Understanding.-...
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