Document Processing Using Machine Learning

This book covers the idea of artificial intelligence for document analysis. It discusses optical character recognition techniques emphasising on Bangla isolated handwritten characters, script identification from character level texts and signature data.

Preface
Editors
Contributors
1. Artificial Intelligence for Document Image Analysis
Himadri Mukherjee, Payel Rakshit, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Santanu Phadikar and Kaushik Roy
2. An Approach toward Character Recognition of Bangla Handwritten Isolated Characters
Payel Rakshit, Chayan Halder and Kaushik Roy
3. Artistic Multi-Character Script Identification
Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy
4. A Study on the Extreme Learning Machine and Its Applications
Himadri Mukherjee, Sahana Das, Subhashmita Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy
5. A Graph-Based Text Classification Model for Web Text Documents
Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy
6. A Study of Distance Metrics in Document Classification
Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy
7. A Study of Proximity of Domains for Text Categorization
Ankita Dhar, Niladri Sekhar Dash and Kaushik Roy
8. Supervised Learning for Aggression Identification and Author Profiling over Twitter Dataset
Kashyap Raiyani and Roy Bayot
9. The Effect of Using Features Computed from Generated Offline Images for Online Bangla Handwritten Character Recognition
Shibaprasad Sen, Ankan Bhattacharyya and Kaushik Roy
10. Handwritten Character Recognition for Palm-Leaf Manuscripts
Papangkorn Inkeaw, Jeerayut Chaijaruwanich and Jakramate Bootkrajang
Index