In this paper a public database for writer retrieval, writer identification and word spotting is
presented. The CVL-Database consists of 7 different handwritten texts (1 German and 6 …

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 presents a texture based approach for identification of writers from offline images
of handwriting. Contrary to the classical texture based techniques which extract texture …

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 …

Rapid movement generation models are described in the literature as an efficient tool to
apprehend the handwriting behavior. Fields of application are diverse, including handwriting …

We describe how oriented Basic Image Feature Columns (oBIF Columns) can be used for
writer identification and how this texture-based scheme can be enhanced by encoding a …

Handwriting biometrics is the science of identifying the behavioral aspect of an individual's
writing style and exploiting it to develop automated writer identification and verification …

This paper presents a text-independent writer recognition method in a multi-script
environment. Handwritten texts in Greek and English are considered in this study. The …

Sampling Local Binary Patterns, a variant of Local Binary Patterns (LBP) for text-as-texture
classification. By adapting and extending the standard LBP operator to the particularities of …

Offline handwriting has become a very important part in the field of behavioral biometrics. In
this paper, we proposed an approach to identify writers from their handwritten documents …