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Handwriting Recognition and Analysis

Handwriting text recognition is the ability of a computer to recognize and transcribe human handwriting. In addition to recognition, handwritten text analysis is commonly used to identify a person's handwriting, match two handwritten samples or otherwise analyze to extract other information, such as the person's characteristics or even identify possible diseases. In this presentation, Mikayel Egibyan talks about the history and techniques used for handwriting recognition and analysis and demonstrates some solutions using neural networks trained on handwritten datasets. He also shows real-life application examples in various domains, such as signature validation, writer identification and more.

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Channels: Technology Conference

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