Handwriting is one of the most common types of questioned writing encountered and
frequently attracts the attention in litigation. Contrary to the physiological characteristics …

Writer identification based on a small amount of text is a challenging problem. In this paper,
we propose a new benchmark study for writer identification based on word or text block …

Writer identification from offline images of handwriting is an interesting pattern classification
problem that has been investigated for many decades now. Despite significant research …

This paper proposes a novel offline text-independent writer identification method based on
scale invariant feature transform (SIFT), composed of training, enrollment, and identification …

There are two types of information in each handwritten word image: explicit information
which can be easily read or derived directly, such as lexical content or word length, and …

In this paper, we propose a novel junction detection method in handwritten images, which
uses the stroke-length distribution in every direction around a reference point inside the ink …

Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …

Feature engineering takes a very important role in writer identification which has been
widely studied in the literature. Previous works have shown that the joint feature distribution …

Abstract Handwriting Writer Identification (HWI) refers to the process of handwriting text
image analysis to identify the authorship of the documents. It has yielded promising results …

This paper presents a review on the state of the art in offline text-independent writer
identification methods for three major languages, namely English, Chinese and Arabic …