Handwriting comenia script recognition with convolutional neural network

This paper deals with handwriting recognition (HWR) using artificial intelligence of so-called Comenia script — a modern handwritten font similar to block letters recently introduced at primary schools in the Czech Republic. This work describes a method how to extend a limited training set of handwritten letters and proposes a new method to increase stability and accuracy by artificially created image samples. We examined a large set of algorithms including a deep learning method for classification of the handwriting characters. The best results were achieved using a convolutional neural network, which achieved the accuracy or character recognition 90.04 %.

[1]  Lutz Prechelt,et al.  Early Stopping-But When? , 1996, Neural Networks: Tricks of the Trade.

[2]  Stanford,et al.  Tiny ImageNet Classification with Convolutional Neural Networks , 2015 .

[3]  Martina Maněnová,et al.  The New Comenia Script to Schools , 2012 .

[4]  Fabio A. González,et al.  A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection , 2013, MICCAI.

[5]  Pavel Zemcík,et al.  Deep learning on small datasets using online image search , 2016, SCCG.

[6]  Razvan Pascanu,et al.  Theano: A CPU and GPU Math Compiler in Python , 2010, SciPy.

[7]  Hermann Ney,et al.  LSTM Neural Networks for Language Modeling , 2012, INTERSPEECH.

[8]  Yafang Xue,et al.  Optical Character Recognition , 2022 .

[9]  R. Smith,et al.  An Overview of the Tesseract OCR Engine , 2007, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007).

[10]  Patrice Y. Simard,et al.  Best practices for convolutional neural networks applied to visual document analysis , 2003, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings..

[11]  Stavros J. Perantonis,et al.  Handwritten character recognition through two-stage foreground sub-sampling , 2010, Pattern Recognit..

[12]  Himanshu Joshi,et al.  OFFLINE HANDWRITING RECOGNITION USING GENETIC ALGORITHM , 2008 .

[13]  C. V. Jawahar,et al.  Recognition of printed Devanagari text using BLSTM Neural Network , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[14]  Malay Kishore Dutta,et al.  Offline handwritten text recognition using support vector machines , 2017, 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN).

[15]  Xiaohui Xie,et al.  Handwritten Hangul recognition using deep convolutional neural networks , 2014, International Journal on Document Analysis and Recognition (IJDAR).

[16]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[17]  Gang Wang,et al.  Deep Learning-Based Classification of Hyperspectral Data , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[18]  Tara N. Sainath,et al.  Deep convolutional neural networks for LVCSR , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.