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...