Source code author identification with unsupervised feature learning
Pattern Recognition Letters
GAS meter reading from real world images using a multi-net system
Pattern Recognition Letters
A text reading algorithm for natural images
Image and Vision Computing
Transform invariant text extraction
The Visual Computer: International Journal of Computer Graphics
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Reading text from photographs is a challenging problem that has received a significant amount of attention. Two key components of most systems are (i) text detection from images and (ii) character recognition, and many recent methods have been proposed to design better feature representations and models for both. In this paper, we apply methods recently developed in machine learning -- specifically, large-scale algorithms for learning the features automatically from unlabeled data -- and show that they allow us to construct highly effective classifiers for both detection and recognition to be used in a high accuracy end-to-end system.