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Off-line Telugu handwritten characters recognition using optical character recognition
2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), 2017The Aim of the proposed paper is to recognize offline Hand written Telugu characters using Optical character recognition, OCR is one of the most popular and challenging topic of pattern recognition This paper proposes an OCR system for Telugu documents which comprises of three stages, namely pre-processing, feature extraction, and classification.
N Prameela, P Anjusha, R Karthik
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Handwritten Character Recognition—An Analysis
2018Handwriting recognition has always been an active and challenging research area with various applications in daily life and also in area of pattern recognition. Some of the applications are reading tool for blind people, reading handwritten bank cheques, by converting it into properly structured text which can be easily detected by the designed ...
Usha Tiwari, Monika Jain, Shabana Mehfuz
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Handwritten alphanumeric character recognition by the neocognitron
IEEE Transactions on Neural Networks, 1991A pattern recognition system which works with the mechanism of the neocognitron, a neural network model for deformation-invariant visual pattern recognition, is discussed. The neocognition was developed by Fukushima (1980). The system has been trained to recognize 35 handwritten alphanumeric characters.
K, Fukushima, N, Wake
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A new Arabic handwritten character recognition deep learning system (AHCR-DLS)
Neural computing & applications (Print), 2020H. M. Balaha +3 more
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Handwritten Character Recognition of Telugu Characters
2023 IEEE 8th International Conference for Convergence in Technology (I2CT), 2023Yash Prashant Wasalwar +3 more
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Optical Handwritten with Character Recognition
2021 International Conference on Innovative Computing (ICIC), 2021Syeda Binish Zahra +5 more
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Optimized leaky ReLU for handwritten Arabic character recognition using convolution neural networks
Multimedia tools and applications, 2021B. H. Nayef +3 more
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UrduDeepNet: offline handwritten Urdu character recognition using deep neural network
Neural computing & applications (Print), 2021Faisel Mushtaq +3 more
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Automatic Recognition of Handwritten Characters
1994This tutorial presents the current scene of handwriting recognition, the achievements in the past and the challenges ahead. The performance of various techniques for recognizing totally unconstrained handwritten characters are reviewed and compared. New ideas and promising areas of research are pointed out for discussion.
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