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Published in:
Innovative Algorithms in Computer Vision Read chapter Read first chapter

2018 | OriginalPaper | Chapter

2. Graphological Analysis and Identification of Handwritten Texts

Authors : Leonid A. Mironovsky, Alexander V. Nikitin, Nina N. Reshetnikova, Nikolay V. Soloviev

Published in: Computer Vision in Control Systems-4

Publisher: Springer International Publishing

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Abstract

The problem of recognition of handwriting text is still far from its final solution. The existing systems of recognition of handwritten texts are usually developed for some special applications. The difficulties are caused by recognition of the conjoint writing because a variability of handwritings is the highest and often it is necessary to solve the problem of delimitation of the separate letters. In this chapter, along with to the known methods of the handwritten fragments’ analysis, it is offered to use the developed methods of vectorization of raster images and vector dynamic parameterization. Also, a description of the automated information storage and retrieval system for the graphological analysis and identification of unintelligible fragments of handwritten texts is given. The system contains a database of handwriting samples with variants of the author’s calligraphy from the Manuscript Department of the Institute of Russian Literature (Pushkin’s House) of the Russian Academy of Sciences.

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Metadata
Title
Graphological Analysis and Identification of Handwritten Texts
Authors
Leonid A. Mironovsky
Alexander V. Nikitin
Nina N. Reshetnikova
Nikolay V. Soloviev
Copyright Year
2018
Book
Computer Vision in Control Systems-4

Print ISBN: 978-3-319-67993-8

Electronic ISBN: 978-3-319-67994-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67994-5_2

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