Script identification plays a vital role in applications that involve handwriting and document
analysis within a multi-script and multi-lingual environment. Moreover, it exhibits a profound …

In this paper, we explore the notion of similarity learning by utilizing the Siamese neural
network employing the residual framework for the purpose of writer identification based on …

Handwriting recognition is one of the desirable attributes of document comprehension and
analysis. It is concerned with the documents writing style and characteristics that distinguish …

Intelligent process control and automation systems require verification authentication
through digital or handwritten signatures. Digital copies of handwritten signatures have …

Usually, a writer identification system based on the convolutional neural network (CNN) is
designed as a closed system, which is composed of many convolutional layers trained often …

Writer identification due to its widespread application in various fields has gained popularity
over the years. In scenarios where optimum handwriting samples are available, whether …

Preparing student's digital marksheet using images of student answer-books is a potential
application in academic institutions. Segmenting assigned marks automatically from answer …

Writer identification is a critical aspect of document analysis and has significant implications
in various domains, including forensics, authentication, and historical research. In this …

Many approaches rely on segmentation for offline text-independent writer identification.
Segmentation schemes based on contours, junctions and projections are widely used and …

As an indispensable part of identity authentication, offline writer identification plays a notable
role in biology, forensics, and historical document analysis. However, identifying handwriting …