Results 251 to 260 of about 4,593,161 (321)
Some of the next articles are maybe not open access.
Cartographic Character Recognition
SPIE Proceedings, 1989This work details a methodology for recognizing text elements on cartographic documents. Cartographic Character Recognition differs from traditional OCR in that many fonts may occur on the same page, text may have any orientation, text may follow a curved path, and text may be interfered with by graphics.
Howard Rafal, Matthew Ward
openaire +1 more source
Third International Conference on Information Technology and Applications (ICITA'05), 2005
Data entry using a pen forms a natural, convenient interface especially for handheld devices, which are very common now. The large number of writing styles and the variability between them makes the problem of writer-independent handwriting recognition a challenging pattern recognition problem.
S. Agarwal, V. Kumar
openaire +1 more source
Data entry using a pen forms a natural, convenient interface especially for handheld devices, which are very common now. The large number of writing styles and the variability between them makes the problem of writer-independent handwriting recognition a challenging pattern recognition problem.
S. Agarwal, V. Kumar
openaire +1 more source
Intelligent character recognition using fully convolutional neural networks
Pattern Recognition, 2019The recognition of handwritten text is challenging as there are virtually infinite ways a human can write the same message. Deep learning approaches for handwriting analysis have recently demonstrated breakthrough performance using both lexicon-based ...
R. Ptucha +5 more
semanticscholar +1 more source
Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning
IEEE International Conference on Document Analysis and Recognition, 2019Oracle character is one kind of the earliest hieroglyphics, which can be dated back to Shang Dynasty in China. Oracle character recognition is important for modern archaeology, ancient text understanding, and historical chronology, etc.
Yi-Kang Zhang +4 more
semanticscholar +1 more source
Handwritten Tamil Character Recognition UsingDeep Learning
2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019Character recognition is developed for various patterns of handwritten or optical characters to be recognized digitally. There are many Tamil literatures in undigitized form.
M. Pragathi +4 more
semanticscholar +1 more source
OBC306: A Large-Scale Oracle Bone Character Recognition Dataset
IEEE International Conference on Document Analysis and Recognition, 2019The oracle bone script from ancient China is among the world's most famous ancient writing systems. Identifying and deciphering oracle bone scripts is one of the most important topics in oracle bone study and requires a deep familiarity with the culture ...
Shuangping Huang +4 more
semanticscholar +1 more source
Investigation on deep learning for off-line handwritten Arabic character recognition
Cognitive Systems Research, 2017Handwritten character recognition is a system widely used in the modern world and it is still an important challenge. Traditional machine-learning techniques require careful engineering and considerable domain expertise to transform raw data into a ...
Chaouki Boufenar +2 more
semanticscholar +1 more source
IBM Journal of Research and Development, 1960
A study of the single-gap-scan approach to character recognition, using an IBM 650 for simulation, is reported. Ten specially designed digits were used in this study. Character recognition is discussed in terms of some simple concepts from n-dimensional geometry.
openaire +1 more source
A study of the single-gap-scan approach to character recognition, using an IBM 650 for simulation, is reported. Ten specially designed digits were used in this study. Character recognition is discussed in terms of some simple concepts from n-dimensional geometry.
openaire +1 more source
Handwritten Character Recognition
2020This chapter discusses isolating and recognizing individual characters. It moves closer to capturing the true problems that need to be overcome in designing high-performance character recognizers for handwritten word recognition applications. In broad terms, character recognition refers to a computer reading some part of some type of document.
Paul Gader, Andrew Gillies, Daniel Hepp
openaire +1 more source
Character recognition symposium
ITNOW, 1967Abstract Coincident with the publication of the Society’s Handbook on Character Recognition, there was a symposium on the subject at the Connaught Rooms on 7 December. Attendance was over 370. The papers ranged from the technical aspects of character recognition to the experiences of those who are currently using these techniques in a ...
openaire +1 more source