Robust off-line text independent writer identification using bagged discrete cosine transform features

作者：

Highlights：

• A robust system for offline text independent writer identification is proposed.

• Bagged discrete cosine transform(BDCT) descriptors used in place of conventional DCT.

• Proposed system tested on four challenging data sets (two English and two Arabic).

• BDCT has shown robustness to noise and blurring.

摘要

•A robust system for offline text independent writer identification is proposed.•Bagged discrete cosine transform(BDCT) descriptors used in place of conventional DCT.•Proposed system tested on four challenging data sets (two English and two Arabic).•BDCT has shown robustness to noise and blurring.

论文关键词：Writer identification,Handwritten offline documents,Text independent,DCT,Bagging,Multiple classifiers,Robust writer identification

论文评审过程：Received 27 April 2016, Revised 6 November 2016, Accepted 7 November 2016, Available online 8 November 2016, Version of Record 23 December 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.012