COMPARISON OF MANUSCRIPT IMAGE SIGNALS THROUGH NEURAL NETWORKS
Keywords:
image, NIST, pixels, convolutional NN, pyramidal NN, improved pyramidal NN, LeNet-1Abstract
Abstract. In the world, large-scale scientific research aimed at improving existing methods and algorithms for creating automated systems for processing and analyzing handwritten text images, as well as developing new computational algorithms, is being conducted.
References
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Changan Han. Neural Network Based Off-line Handwritten Text Recognition System. Florida International University. 4-1-2011.
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Yu Chen, Malek Adjouadi, Changan Han, Jin Wang, Armando Barreto, Naphtali Rishe, Jean Andrian: A highly accurate and computationally efficient approach for unconstrained iris segmentation. Image Vision Comput. 28(2): 261-269 (2010)
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Copyright (c) 2024 Dilnoza Abdurasulova, Muhammadmullo Asrayev, Xumora G‘oipova
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