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Segmentation of Cursive Textual Images (Applied to Urdu Script) von Shahid Abid (2015, Taschenbuch)

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Titel: Segmentation of Cursive Textual Images (Applied to Urdu Script), Einband: Taschenbuch, Autor: Shahid Abid, Verlag: LAP LAMBERT Academic Publishing, Sprache: Englisch, Seiten: 156, Maße: 220x150x10 mm, Gewicht: 250 g, Verkäufer: buch-mimpf.

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Produktinformation

Segmentation of Cursive Textual Images (Applied to Urdu Script) is designed for students perusing the subject at both undergraduate and postgraduate levels. Features: . Enable students to see how algorithms like artificial neural network (ANN), hidden Markov Model (HMMs) etc. work. . Enable them to understand images, various operations on images and algorithms. . Explain the various implementations of HMMs on values and images. . Includes step-by-step instructions to apply algorithms to solve multi-dimensional problems. . It explains textual images (using Urdu script as example), its cursive nature and difficulties for a computer program to identify characters in textual image. . It also explains glyph or connected component analysis. . It explains ANN algorithm and how it can solve segmentation/recognition of holistic images. . It explains how HMMs is used for the segmentation of Urdu text at character level. . It also explains the mathematical equations involved in HMMs. . It also discussed the limitations of algorithm using bounding box, ANN and HMMs. . Includes comprehensive appendix and important tables, graphs and mathematical equations.