In this work, we target at the problem of offline sketch parsing, in which the temporal orders
of strokes are unavailable. It is more challenging than most of existing work, which usually …

The order in which the trajectory is executed is a powerful source of information for
recognizers. However, there is still no general approach for recovering the trajectory of …

On-line handwriting recognition systems are usually better than their off-line counterparts
thanks to the accessibility of dynamic information such as stroke order, velocity, acceleration …

We experiment with off-line recognition of handwritten flowcharts based on strokes
reconstruction and our state-of-the-art on-line diagram recognizer. A simple baseline …

In this paper, we propose a novel approach for trajectory recovery. Our system uses a
triangulation procedure for skeletonization and graph theory to extract the trajectory …

The aim of off-line signature verification is to decide, whether a signature originates from a
given signer based on the scanned image of the signature and a few images of the original …

One of the key tasks in computer vision is the identification and matching of coherent shapes
in different images. In signature verification these shapes are represented by the strokes of …

Although the computerized verification of handwritten signatures has been extensively
studied in the past three decades, the results on the field are still unsatisfactory. This paper …

A robust classification system for children, adults male and adults female speech has been
proposed. The proposed classifier is based on Gaussian Mixture Models, which apply the …

Handwritten signature is one of the oldest biometrics. Handwritten signature identification or
verification is simple, fairly secure, inexpensive, nonintrusive and acceptable in society …