Improving patch-based scene text script identification with ensembles of conjoined networks

作者：

Highlights：

• We present a patch-based classification method for script identificattion in the wild.

• We describe a novel method based on the use of ensembles of conjoined networks (ECN).

• The ECN learns discriminative local features and their relative importance in a global classification rule.

• Our experiments demonstrate state-of-the-art results in three script identification datasets.

摘要

•We present a patch-based classification method for script identificattion in the wild.•We describe a novel method based on the use of ensembles of conjoined networks (ECN).•The ECN learns discriminative local features and their relative importance in a global classification rule.•Our experiments demonstrate state-of-the-art results in three script identification datasets.

论文关键词：Script identification,Scene text understanding,Multi-language OCR,Convolutional neural networks,Ensemble of conjoined networks

论文评审过程：Received 12 May 2016, Revised 1 December 2016, Accepted 30 January 2017, Available online 3 February 2017, Version of Record 11 February 2017.

论文官网地址：https://doi.org/10.1016/j.patcog.2017.01.032