Results 21 to 30 of about 104,796 (258)
Alternative Collaborative Learning for Character Recognition in Low-Resolution Images
IEEE Access, 2022 Character recognition in a single image is a technology utilized in various sensor platforms, such as smart parking and text-to-speech systems, and numerous studies are being conducted to improve its performance by experimenting with novel approaches ...
Sungjin Lee, Jun Seok Yun, Seok Bong Yoo
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Arabic Character Recognition Using Fractal Dimension [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2009 In this work the concepts of the pattern recognition was used to recognize printed Arabic characters, and the Fractal geometric dimension method was used.
Khalil Alsaif, Karam Thanoon
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Jurnal Paedagogy, 2022 This study aims to describe the conditions and foster a character of recognition for students of SDS Muhammadiyah 4 Cawang East Jakarta. The research uses the PAR (Participant Action Research) method with validity tests using Pre-Test and Post-Test to ...
Mubarak Ahmad +4 more
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Latin Character Recognition using Neural Networks [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2007 The aim of this work is to recognize the printed Latin's characters. In this work two methods for constructing the feature space are used. These methods are Variance and Fractal dimension methods, as a result they have real values for every character in ...
Jamal Majeed, Aseel Ali, Amar Majeed
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IMPLEMENTATION OF REJECTION STRATEGIES INSIDE MALAYALAM CHARACTER RECOGNITION SYSTEM BASED ON RANDOM FOURIER FEATURES AND REGULARIZED LEAST SQUARE CLASSIFIER [PDF]
Journal of Engineering Science and Technology, 2018 Robust and reliable recognition are indeed necessary requirements for optical character recognition systems. Distortions present in the document image and the pre-processing errors cause the optical character recognition system to apply rejection ...
MANJUSHA K, ANAND KUMAR M., SOMAN K. P.
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Convolutional Neural Networks for Handwritten Javanese Character Recognition
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2018 Convolutional neural network (CNN) is state-of-the-art method in object recognition task. Specialized for spatial input data type, CNN has special convolutional and pooling layers which enable hierarchical feature learning from the input space.
Chandra Kusuma Dewa +2 more
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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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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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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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Multiclass Recognition of Offline Handwritten Devanagari Characters using CNN [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The handwriting style of every writer consists of variations, skewness and slanting nature and therefore, it is a stimulating task to recognise these handwritten documents.
Mamta Bisht , Richa Gupta
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