Application of convolutional neural networks in offline handwriting recognition and pen-path recovery

This thesis investigates the application of deep Convolutional Neural Network architectures for processing and analysis of offline handwriting documents. Automated text analysis systems that can be used in offline handwritten text detection and recognition are challenging areas of study due to the s...

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Bibliographic Details

Main Author:	Anthony Adole
Format:	Default Thesis
Published:	2022
Subjects:	Other information and computing sciences not elsewhere classified Artificial intelligence research Offline handwriting Character recognition Neural network architecture Handwritten character recognition
Online Access:	https://dx.doi.org/10.26174/thesis.lboro.21597930.v1
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