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2012-03-16 14:02 by teo | Version 5 | Rating

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Summary: Images and data files of characters and digits drawn on a tablet PC
License: ODbL
Dependencies
Tags: character-recognition computer-vision handwritten-digits
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Original Data Format

tgz

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Data (first 10 data points)

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URLs

http://www.ee.surrey.ac.uk/CVSSP/demos/chars74k/

Publications

T. E. deCampos, B. R. Babu and M. Varma; Character Recognition in Natural Images; In Proceedings of the International Conference on Computer Vision Theory and Applications (VISAPP), 2009;

http://www.ee.surrey.ac.uk/CVSSP/Publications/papers/deCampos-VISAPP-2009.pdf

This paper tackles the problem of recognizing characters in images of natural scenes. In particular, we focus on recognizing characters in situations that would traditionally not be handled well by OCR techniques. We present an annotated database of images containing English and Kannada characters. The database comprises of images of street scenes taken in Bangalore, India using a standard camera. The problem is addressed in an object categorization framework based on a bag-of-visual-words representation. We assess the performance of various features based on nearest neighbour and SVM classification. It is demonstrated that the performance of the proposed method, using as few as 15 training images, can be far superior to that of commercial OCR systems. Furthermore, the method can benefit from synthetically generated training data obviating the need for expensive data collection and annotation.

Data Source

Tablet PC

Measurement Details

Raw trajectories and image bitmaps

Usage Scenario

Hand drawn character recognition

revision 1: by teo on 2012-03-16 13:46
revision 2: by teo on 2012-03-16 13:57
revision 3: by teo on 2012-03-16 13:59
revision 4: by teo on 2012-03-16 14:00
revision 5: by teo on 2012-03-16 14:02
revision 6: by teo on 2012-03-16 14:10
revision 7: by teo on 2012-03-16 15:05
revision 8: by teo on 2012-03-16 15:06
revision 9: by teo on 2012-03-16 15:15
revision 10: by teo on 2012-03-16 15:20
revision 11: by teo on 2012-03-16 15:23
revision 12: by teo on 2012-03-16 15:23
revision 13: by teo on 2012-09-24 20:35

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Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)

http://www.pascal-network.org/.