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Context

Character recognition is a classic pattern recognition problem for which researchers have worked since the early days of computer vision. With today's omnipresence of cameras, the applications of automatic character recognition are broader than ever. For Latin script, this is largely considered a solved problem in constrained situations, such as images of scanned documents containing common character fonts and uniform background. However, images obtained with popular cameras and hand held devices still pose a formidable challenge for character recognition. The challenging aspects of this problem are evident in this dataset.

Content

The data contains 62 directories which include image data of 26 capital alphabets, 26 small alphabets and 10 digits