This paper describes a method for robust offline writer identification. We propose to use
RootSIFT descriptors computed densely at the script contours. GMM supervectors are used …

Writer's identification from a handwritten text is one of the most challenging machines
learning problems because of the variable handwritten sources, various languages, the …

Local feature descriptors in combination with bag of (visual) words have recently become
the state of the art in writer identification. In this work we propose the use of Zernike …

Determining the writer or transcriber of historical Arabic manuscripts has always been a
major challenge for researchers in the field of humanities. With the development of …

Identifying the writer of a handwritten document has remained an interesting pattern
classification problem for document examiners, forensic experts, and paleographers. While …

This competition targets writer identification and gender classification from offline
handwritten documents using the QUWI database. The most interesting aspect of the …

Writer recognition is to identify a person on the basis of handwriting, and great progress has
been achieved in the past decades. In this paper, we concentrate ourselves on the issue of …

This study addresses the problem of identifying the authorship of historical manuscripts, a
challenging task that offers interesting applications for document examiners and …

This work presents state-of-the-art results on one of the complex datasets; known as KHATT.
The KHATT dataset shows complex patterns for Arabic handwritten text. We have achieved …

This paper addresses the problem of writer identification from handwritten documents. We
propose a new approach for offline writer identification based on a combination of SVM …