機械学習による印刷・手書き文書解析 Printed and Handwritten Document Analysis : A Machine Learning Perspective

機械学習による印刷・手書き文書解析<br>Printed and Handwritten Document Analysis : A Machine Learning Perspective

機械学習による印刷・手書き文書解析
Printed and Handwritten Document Analysis : A Machine Learning Perspective

Parui, Swapan Kumar/ Bhattacharya, Ujjwal

CRC Pr I Llc（2015/02発売）

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製本 Hardcover:ハードカバー版／ページ数 525 p.
言語 ENG
商品コード 9781482219623
DDC分類 310

Full Description

This reference book presents the fundamentals of machine learning tools commonly used by researchers. The book includes graphical models like Bayesian networks and hidden Markov models with wider application potentials in the document analysis area. It also covers distributions that have not yet been used, such as circular distributions with potential use in handwriting recognition and in color scene text image segmentation. The book also details which-and how-these machine learning tools are useful at different stages. A full chapter is devoted to online handwriting recognition

Introduction to Machine Learning. Probability Distributions. Graphical Models. Hidden Markov Model. Neural Networks. Kernel Based Methods. Classifier Combination. Introduction to Document Analysis. Sample Databases. Preprocessing. Layout Analysis. Segmentation. Printed and Offline Handwritten Document Recognition. Online Handwriting Recognition. Applications.