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Character segmentation of handwritten text using machine learning
Dr Chetanpal Singh, Rahul Thakkar
Computing, Mathematics and Engineering
Victorian Institute of Technology
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peer-review
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Dive into the research topics of 'Character segmentation of handwritten text using machine learning'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning
100%
Character Segmentation
100%
Handwritten Documents
100%
Systematic Literature Review
50%
Artificial Intelligence
50%
Training Stages
50%
Technology Integration
50%
Classification Scheme
50%
Selection Strategy
50%
Literature Gaps
50%
Review Protocol
50%
Character Recognition System
50%
Printed Documents
50%
Image Extraction
50%
Optical Character Recognition
50%
Electronic Form
50%
Intelligence Learning
50%
Comprehensive Selection
50%
Digital Copies
50%
Computer Science
Optical Character Recognition
100%
Machine Learning
100%
Learning System
100%
Recognition System
50%
Electronic Format
50%
Research Process
50%
Classification Scheme
50%
Character Recognition
50%
Selection Process
50%
Artificial Intelligence
50%
Engineering
Optical Character Recognition
100%
Learning System
100%
Similarities
50%
Selection Process
50%
Classification Scheme
50%
Report Review
50%
Input Image
50%
Character Recognition
50%
Artificial Intelligence
50%
Chemical Engineering
Learning System
100%
Artificial Intelligence
50%