Sep 9–12, 2019

Solmaz Torabi
Data Scientist, EXL

Solmaz Torabi is a data scientist at EXL, where she’s responsible for building image and text analytics models using deep learning methods to extract information from images and documents. She holds a PhD in electrical and computer engineering from Drexel University.

Sessions

11:55am–12:35pm Wednesday, September 11, 2019

Location: 230 C

Improving OCR quality of documents using generative adversarial networks

Implementing AI

Secondary topics: Computer Vision, Deep Learning, Health and Medicine, Machine Learning

Nagendra Shishodia (EXL), Solmaz Torabi (EXL), Chaithanya Manda (EXL)

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Every NLP-based document-processing solution depends on converting documents or images to machine-readable text using an optical character recognition (OCR) solution, but accuracy is limited by the quality of the images. Nagendra Shishodia, Solmaz Torabi, and Chaithanya Manda examine how GANs can bring significant efficiencies by enhancing resolution and denoising scanned images. Read more.