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ICDAR
2011
IEEE

A Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting

9 years 1 months ago
A Lattice-Based Method for Keyword Spotting in Online Chinese Handwriting
——This paper proposes a lattice-based method for keyword spotting in online Chinese handwriting to improve the trade-off between accuracy and speed, and to overcome the out-of-vocabulary (OOV) problem of lexicon-driven approach. Using a character string recognition algorithm, the lattice-based method generates a candidate lattice of N-best list. We observe that search multiple candidate strings reduces the precision rate while improving the recall rate compared to the top-rank string. We propose a post-processing method using word confusion network (WCN) for candidate pruning in the lattice in order to alleviate the precision loss of searching multiple candidate strings. Our experimental results on a large database CASIA-OLHWDB2.0 demonstrate the effectiveness of the proposed method. Keywords-Lattice-based keyword spotting; N-best list; post-processing
Heng Zhang, Cheng-Lin Liu
Added 24 Dec 2011
Updated 24 Dec 2011
Type Journal
Year 2011
Where ICDAR
Authors Heng Zhang, Cheng-Lin Liu
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