Zhang, Jiulong Guo, Mingtao Fan, Jianping
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Chinese calligraphy is a valuable cultural heritage belonging to the world. It is liked by many people, and our mission is to endeavor to pursue calligraphy and make contributions to the business with technical means. The automatic recognition of the styles of calligraphy by image processing techniques has important meaning in arts collection and a...
Savino, Pasquale Tonazzini, Anna Bedini, Luigi
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Ancient manuscripts written on both pages of the sheet are frequently affected by ink bleeding from the reverse side. This phenomenon produces a significant degradation of both the foreground text and the general appearance of the manuscript. Effective digital image restoration techniques may require the use of the content of both document sides, t...
Liu, Xiyan Meng, Gaofeng Pan, Chunhong
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Scene text detection and recognition has become a very active research topic in recent several years. It can find many applications in reality ranging from navigation for vision-impaired people to semantic natural scene understanding. In this survey, we are intended to give a thorough and in-depth reviews on the recent advances on this topic, mainl...
Afifi, Mahmoud Hussain, Khaled F.
Published in
International Journal on Document Analysis and Recognition (IJDAR)
In spite of the high accuracy of the existing optical mark reading (OMR) systems and devices, a few restrictions remain existent. In this work, we aim to reduce the restrictions of multiple-choice questions (MCQ) within tests. We use an image registration technique to extract the answer boxes from answer sheets. Unlike other systems that rely on si...
Mohammadi, Shahram Maleki, Reza
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Air-writing is an attractive method of interaction between human and machine due to lack of any interface device on the user side. After removing existing limitations and solving the current challenges, it can be used in many applications in the future. In this paper, using the Kinect depth and color images, an air-writing system is proposed to ide...
Lu, Weiming Ma, Pengkun Yu, Jiale Zhou, Yangfan Wei, Baogang
Published in
International Journal on Document Analysis and Recognition (IJDAR)
As the number of textbooks soars, people may be stuck into thousands of books when learning knowledge. In order to provide a concise yet comprehensive picture for learning, we propose a novel framework, called MM4Books, to automatically build metro maps for efficient knowledge learning by summarizing massive electronic textbooks. We represent each ...
Ljubenović, Marina Figueiredo, Mário A. T.
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Most of the existing single-image blind deblurring methods are tailored for natural images. However, in many important applications (e.g., document analysis, forensics), the image being recovered belongs to a specific class (e.g., text, faces, fingerprints) or contains two or more classes. To deal with these images, we propose a class-adapted blind...
Milosevic, Nikola Gregson, Cassie Hernandez, Robert Nenadic, Goran
Published in
International Journal on Document Analysis and Recognition (IJDAR)
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications. Text mining provided in the past methods to retrieve and extract information from text; however, most of these approaches ignored tables and figures. The research done in mining table data still does not have an in...
Riesen, Kaspar Schmidt, Roman
Published in
International Journal on Document Analysis and Recognition (IJDAR)
Handwritten signatures are widely used and well-accepted biometrics for personal authentication. The accuracy of signature verification systems has significantly improved in the last decade, making it possible to rely on machines in particular cases or to support human experts. Yet, based on only few genuine references, signature verification is st...
Le, Anh Duc Nguyen, Hai Dai Indurkhya, Bipin Nakagawa, Masaki
Published in
International Journal on Document Analysis and Recognition (IJDAR)
We present a technique based on stroke order normalization for improving recognition of online handwritten mathematical expressions (ME). The stroke order dependent system has less time complexity than the stroke order free system, but it must incorporate special grammar rules to cope with stroke order variations. The stroke order normalization tec...
