Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Word spotting for historical documents
International Journal on Document Analysis and Recognition
An Open Source Tesseract Based Optical Character Recognizer for Bangla Script
ICDAR '09 Proceedings of the 2009 10th International Conference on Document Analysis and Recognition
Online Bangla Word Recognition Using Sub-Stroke Level Features and Hidden Markov Models
ICFHR '10 Proceedings of the 2010 12th International Conference on Frontiers in Handwriting Recognition
Browsing Heterogeneous Document Collections by a Segmentation-Free Word Spotting Method
ICDAR '11 Proceedings of the 2011 International Conference on Document Analysis and Recognition
Word Image Retrieval Using Bag of Visual Words
DAS '12 Proceedings of the 2012 10th IAPR International Workshop on Document Analysis Systems
Least squares quantization in PCM
IEEE Transactions on Information Theory
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
Bag-of-Features Representations for Offline Handwriting Recognition Applied to Arabic Script
ICFHR '12 Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition
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In this paper we present how Bag-of-Features Hidden Markov Models can be applied to printed Bangla word spotting. These statistical models allow for an easy adaption to different problem domains. This is possible due to the integration of automatically estimated visual appearance features and Hidden Markov Models for spatial sequential modeling. In our evaluation we are able to report high retrieval scores on a new printed Bangla dataset. Furthermore, we outperform state-of-the-art results on the well-known George Washington word spotting benchmark. Both results have been achieved using an almost identical parametric method configuration.