4 February 2013 Segmentation-free keyword spotting framework using dynamic background model
Author Affiliations +
We propose a segmentation free word spotting framework using Dynamic Background Model. The proposed approach is an extension to our previous work where dynamic background model was introduced and integrated with a segmentation based recognizer for keyword spotting. The dynamic background model uses the local character matching scores and global word level hypotheses scores to separate keywords from non-keywords. We integrate and evaluate this model on Hidden Markov Model (HMM) based segmentation free recognizer which works at line level without any need for word segmentation. We outperform the state of the art line level word spotting system on IAM dataset.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gaurav Kumar, Gaurav Kumar, Safwan Wshah, Safwan Wshah, Venu Govindaraju, Venu Govindaraju, Sitaram Ramachandrula, Sitaram Ramachandrula, "Segmentation-free keyword spotting framework using dynamic background model", Proc. SPIE 8658, Document Recognition and Retrieval XX, 86580H (4 February 2013); doi: 10.1117/12.2008597; https://doi.org/10.1117/12.2008597

Back to Top