Neural networks in recognition of handwriting


Abstract

Artificial neural networks consist of many simple elements capable of processing data. These are tools inspired by the construction of the human brain, used in machine learning. The aim of the research was to analyze the occuracy of the created neural network in the process of handwriting recognition. The article presents the results obtained during the learning and testing of a convolution network with a different number of hidden layers. Each time learning and testing the network was carried out using the same set of images (taken from the publicly available IAM database) depicting handwritten words in English.


Keywords

handwriting; artificial neural network; word recognition

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http://www.fki.inf.unibe.ch/databases/iam-handwriting-database [05.02.2019]

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Published : 2020-06-30


Michalik, B., & Miłosz, M. (2020). Neural networks in recognition of handwriting . Journal of Computer Sciences Institute, 15, 109-113. https://doi.org/10.35784/jcsi.2037

Bernadetta Michalik  bernadetta768@gmail.com
Lublin University of Technology  Poland
Marek Miłosz 
Lublin University of Technology  Poland