Patch Aggregator for Scene Text Script Identification | IEEE Conference Publication | IEEE Xplore

Patch Aggregator for Scene Text Script Identification


Abstract:

Script identification in the wild is of great importance in a multi-lingual robust-reading system. The scripts deriving from the same language family share a large set of...Show More

Abstract:

Script identification in the wild is of great importance in a multi-lingual robust-reading system. The scripts deriving from the same language family share a large set of characters, which makes script identification a fine-grained classification problem. Most existing methods make efforts to learn a single representation that combines the local features by making a weighted average or other clustering methods, which may reduce the discriminatory power of some important parts in each script for the interference of redundant features. In this paper, we present a novel module named Patch Aggregator (PA), which learns a more discriminative representation for script identification by taking into account the prediction scores of local patches. Specifically, we design a CNN-based method consisting of a standard CNN classifier and a PA module. Experiments demonstrate that the proposed PA module brings significant performance improvements over the baseline CNN model, achieving the state-of-the-art results on three benchmark datasets for script identification: SIW-13, CVSI 2015 and RRC-MLT 2017.
Date of Conference: 20-25 September 2019
Date Added to IEEE Xplore: 03 February 2020
ISBN Information:

ISSN Information:

Conference Location: Sydney, NSW, Australia

References

References is not available for this document.