Writer identification using machine learning approaches: a comprehensive review
Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
frequently attracts the attention in litigation. Contrary to the physiological characteristics …
[PDF][PDF] Machine learning for ancient languages: A survey
Ancient languages preserve the cultures and histories of the past. However, their study is
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …
fraught with difficulties, and experts must tackle a range of challenging text-based tasks, from …
Writer identification using deep learning with fast keypoints and harris corner detector
Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …
problem that has been investigated for many decades now. Despite significant research …
Writer identification using GMM supervectors and exemplar-SVMs
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 …
RootSIFT descriptors computed densely at the script contours. GMM supervectors are used …
Automatic processing of Historical Arabic Documents: a comprehensive survey
Nowadays, there is a huge amount of Historical Arabic Documents (HAD) in the national
libraries and archives around the world. Analyzing this type of data manually is a difficult and …
libraries and archives around the world. Analyzing this type of data manually is a difficult and …
Encoding CNN activations for writer recognition
V Christlein, A Maier - 2018 13th IAPR international workshop …, 2018 - ieeexplore.ieee.org
The encoding of local features is an essential part for writer identification and writer retrieval.
While CNN activations have already been used as local features in related works, the …
While CNN activations have already been used as local features in related works, the …
Length independent writer identification based on the fusion of deep and hand-crafted descriptors
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 …
learning problems because of the variable handwritten sources, various languages, the …
Forensic document examination and algorithmic handwriting analysis of Judahite biblical period inscriptions reveal significant literacy level
Arad is a well preserved desert fort on the southern frontier of the biblical kingdom of Judah.
Excavation of the site yielded over 100 Hebrew ostraca (ink inscriptions on potsherds) dated …
Excavation of the site yielded over 100 Hebrew ostraca (ink inscriptions on potsherds) dated …
A deep learning based system for writer identification in handwritten Arabic historical manuscripts
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 …
major challenge for researchers in the field of humanities. With the development of …
Off-line text-independent writer recognition: A survey
YJ Xiong, Y Lu, PSP Wang - International Journal of Pattern …, 2017 - World Scientific
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 …
been achieved in the past decades. In this paper, we concentrate ourselves on the issue of …