Results 231 to 240 of about 4,613,538 (286)

SurveyNet: A Unified Deep Learning Framework for OCR and OMR-Based Survey Digitization. [PDF]

J Imaging
Quiñones R, Cheekireddy S, Gultepe E.
europepmc   +1 more source

Reinforcement learning from human feedback improves automatic speech recognition models for ancient Thai language. [PDF]

Sci Rep
Popun J, Lee W, Srisomboon K, Pipanmekaporn L, Prayote A.   +4 more
europepmc   +1 more source

Deep inception neural network with residual connections for Tamil handwritten character recognition. [PDF]

Sci Rep
Periyasamy H, Natarajan S, Amirtharajan R.   +2 more
europepmc   +1 more source

Nastaliq optical character recognition

Proceedings of the 46th Annual Southeast Regional Conference on XX, 2008
Nastaliq is a calligraphic, beautiful and more aesthetic style of writing Urdu, the national language of Pakistan, also used to read and write in India and other countries of the region.OCRs developed for many world languages are already under efficient use but none exist for Nastaliq -- a calligraphic adaptation of the Arabic scrip which is inherently
Sattar, Sohail A., Haque, Shamsul, Pathan, Mahmood K.   +2 more
openaire   +4 more sources

An Arabic optical character recognition system using recognition-based segmentation

Pattern Recognition, 2001
Optical character recognition (OC) systems improve human-machine interaction and are widely used in many areas. The recognition of cursive scripts is a difficult task as their segmentation suffers from serious problems.
Mohammed Bennamoun
exaly   +2 more sources

Real-time optical character recognition on field programmable gate array for automatic number plate recognition system

IET Circuits, Devices and Systems, 2013
The last main stage in an automatic number plate recognition system (ANPRs) is optical character recognition (OCR), where the number plate characters on the number plate image are converted into encoded texts.
Xiaojun Zhai, Faycal Bensaali
exaly   +2 more sources

Optical Character Recognition

, 1999
Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products.
Stephen V. Rice, George Nagy, Thomas A. Nartker   +2 more
openaire   +2 more sources

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Certifiable optical character recognition

Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002
A general-purpose approach for enhancing the accuracy of optical character recognition is described. By taking the view that the printed page is a data transmission channel, the authors raise the possibility of error detecting/correcting codes designed specifically for the OCR process.
Daniel P. Lopresti, Jonathan S. Sandberg
openaire   +1 more source