Results 41 to 50 of about 4,593,161 (321)
Arabic Character Recognition Using CNN LeNet-5
JOIV: International Journal on Informatics Visualization, 2023 The human handwriting pattern is one of the research areas of pattern recognition; it is very complex. Therefore, research in this field has become quite popular.
Gibran Satya Nugraha +4 more
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TextCaps: Handwritten Character Recognition With Very Small Datasets [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2019 Many localized languages struggle to reap the benefits of recent advancements in character recognition systems due to the lack of substantial amount of labeled training data.
Vinoj Jayasundara +5 more
semanticscholar +1 more source
OCR FOR ENGLISH CHARACTERS BASED ON POLAR HISTOGRAM FEATURE EXTRACTION AND EUCLIDEAN DISTANCE
Yanbu Journal of Engineering and Science, 2019 Optical character recognition is the process of converting characters from image format to text format. The process includes four main stages namely: pre-processing, feature extraction, character recognition, and post-processing.
Saleh Ali Alshehri
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Self-supervised adaptation for on-line script text recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005 We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised ...
Loic Oudot +2 more
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Neural Network Applications [PDF]
, 1995 Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in ...
Jain, L.C., Veelenturf, L.P.J., Vonk, E.
core +3 more sources
, 2020 Deep Convolutional neural networks (CNN) have been among the utmost competitive neural network architectures and have set the state-of-the-art in various fields of computer vision. In this paper, we present OCR-Nets, variants of (AlexNet & GoogleNet) for
Mohammed Aarif K.O., Sivakumar Poruran
semanticscholar +1 more source
Gujarati Handwritten Character Recognition from Text Images
Procedia Computer Science, 2020 Today is the era of paperless office and governance. It comes with numerous advantages like increased productivity and efficiency, pervasiveness, storage optimization, robustness and eco-friendliness.
J. Pareek +3 more
semanticscholar +1 more source
Benchmarking on offline Handwritten Tamil Character Recognition using convolutional neural networks
Journal of King Saud University: Computer and Information Sciences, 2019 Convolutional Neural Networks (CNN) are playing a vital role nowadays in every aspect of computer vision applications. In this paper we have used the state of the art CNN in recognizing handwritten Tamil characters in offline mode.
B. R. Kavitha, C. Srimathi
semanticscholar +1 more source
Bangla handwritten character recognition using MobileNet V1 architecture
Bulletin of Electrical Engineering and Informatics, 2020 Handwritten character recognition is a very tough task in case of complex shaped alphabet set like Bangla script. As optical character recognition (OCR) has a huge application in mobile devices, model needs to be suitable for mobile applications.
Tapotosh Ghosh +7 more
semanticscholar +1 more source
Examples of Artificial Perceptions in Optical Character Recognition and Iris Recognition
, 2012 This paper assumes the hypothesis that human learning is perception based, and consequently, the learning process and perceptions should not be represented and investigated independently or modeled in different simulation spaces.
A.M. Turing +6 more
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