Handwritten documents can be characterized by their content or by the shape of the written
characters. We focus on the problem of comparing a person's handwriting to a document of …

With the explosive growth of the tablet form factor and greater availability of pen-based direct
input, writer identification in online environments is increasingly becoming critical for a …

With the explosive growth of the tablet form factor and greater availability of pen‐based
direct input, online writer identification is increasingly becoming critical for person …

Accent in handwriting can be defined as the influence of a writer's native script on his/her
writing style in another script. In this paper, we approach the problem of detecting the …

A multi-agent architecture to automate complex industrial systems is described. The multi-
agent system is created with artificial social behaviors to enable cooperation among the …

A key factor in building effective writer identification/verification systems is the amount of
data required to build the underlying models. In this research we systematically examine …

Even with modern information retrieval systems and advanced digital libraries, many people
cannot find the information they need when they need it. There are many reasons why …

Large scale retrieval of handwritten documents has primarily been focused around
searching a query text in the OCR'ed transcription of the document images, which provides a …

The generative model of computer vision, along with local features represented by
quantized Scale Invariant Feature Transform (SIFT) descriptors, are used to classify writers …

Accent in speech is defined as a distinctive mode of pronunciation that is unique to a
geographical region. In a similar way, we define accent in handwriting as distinctive writing …