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

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• 作者：Faraz Ahmad Khan ; ^a ; ^{faraz.khan@northumbria.ac.uk} ; Muhammad Atif Tahir^a ; ^b ; ^{muhammad.tahir@northumbria.ac.uk} ; Fouad Khelifi^a ; ^{fouad.khelifi@northumbria.ac.uk} ; Ahmed Bouridane^a ; ^{ahmed.bouridane@northumbria.ac.uk} ; Resheed Almotaeryi^a ; ^{resheed.almotaeryi@northumbria.ac.uk}
• 关键词：Writer identification ; Handwritten offline documents ; Text independent ; DCT ; Bagging ; Multiple classifiers ; Robust writer identification
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：1 April 2017
• 年：2017
• 卷：71
• 期：Complete
• 页码：404-415
• 全文大小：3243 K
• 卷排序：71

文摘

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.