Word image retrieval using binary features
Bin Zhang, Sargur N. Srihari, Chen Huang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2003
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.