Full Page Handwriting Recognition via Image to Sequence Extraction

Jun 01, 12:00PM PDT(07:00PM GMT).
  • Free 133 Attendees
This event is hosted by SF Big Analytics Group. https://www.meetup.com/SF-Big-Analytics

In this talk I will present a Neural Network based Handwritten Text Recognition (HTR) model architecture that can be trained to recognize full pages of handwritten or printed text without segmentation of images into lines or paragraphs (as prior art requires). I will talk about the challenges in addressing this problem, review the field, and provide details about our new state of art full page text recognition model. The model is also very easy to replicate using off the shelf modules, and therefore should be of particular interest to ML engineers wanting to develop a state-of-art handwriting recognition system.

Sumeet Singh (Turnitin)

Sumeet Singh is a Distinguished ML Scientist at Turnitin focussed on applied research in Computer Vision, NLU and AI in general.
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