Word image retrieval using binary features

Bin Zhang; Sargur N. Srihari; Chen Huang

doi:10.1117/12.523968

15 December 2003 Word image retrieval using binary features

Bin Zhang, Sargur N. Srihari, Chen Huang

Proceedings Volume 5296, Document Recognition and Retrieval XI; (2003) https://doi.org/10.1117/12.523968
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

Existing word image retrieval algorithms suffer from either low retrieval precision or high computation complexity. We present an effective and efficient approach for word image matching by using gradient-based binary features. Experiments over a large database of handwritten word images show that the proposed approach consistently outperforms the existing best handwritten word image retrieval algorithm. Dynamic Time Warping (DTW) with profile-based shape features. Not only does the proposed approach have much higher retrieval accuracy, but also it is 893 times faster than DTW.

Citation Download Citation

Bin Zhang, Sargur N. Srihari, and Chen Huang "Word image retrieval using binary features", Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); https://doi.org/10.1117/12.523968

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