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Handwriting Recognition and Analysis

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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