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Unsupervised Feature Learning for OCR by petersonjr is a document available to read on EtoBox.

What is Unsupervised Feature Learning for OCR about?

This document proposes applying unsupervised feature learning methods to the tasks of text detection and character recognition in scene images. Unsupervised feature learning algorithms have achieved success in other domains like visual and audio recognition by automatically learning representations from unlabeled data. The authors apply a scalable feature learning system based on K-means clustering to learn a bank of features from unlabeled image patches, and show that recognition performance improves as mo

Author

petersonjr

Language

EN