Until today, researchers have introduced a range of methodologies to decrease the noise
effect on medical images. In the proposed approach, an adapted deep convolutional neural …

The lung is one of the prime respiratory organs in human physiology, and its abnormality will
severely disrupt the respiratory system. Lung Nodule (LN) is one of the abnormalities, and …

Online signals are rich in dynamic features such as trajectory chronology, velocity, pressure
and pen up/down movements. Their offline counterparts consist of a set of pixels. Thus …

To mitigate the noise effects without information loss at the edges of the radiological images,
a well-designed preprocessing algorithm is required to assist the radiologists. This paper …

Reconstructing the trajectory from the static image of handwritten ink traces is useful in many
practical applications envisaging handwriting analysis and recognition from offline data, as it …

Stroke reconstruction from offline handwriting is an important research field. This article
presents Online Signal Restoration (OSR) using Arabic Handwriting Dhad Dataset …

The focus of this paper is offline handwriting Stroke Trajectory Recovery (STR), which
facilitates the tasks such as handwriting recognition and synthesis. The input is an image of …

In this paper, we propose DTW seg, a modified DTW algorithm based on a point-to-segment
distance instead of the euclidean point-to-point distance. Applying DTW seg to online …

In signature verification, spatio-temporal features offer better performance than the ones
extracted from static images. However, estimating spatio-temporal or spatial sequences in …

Cette thèse se focalise sur la conversion d'images statiques d'écriture hors-ligne en signaux
temporels d'écriture en-ligne. L'objectif est d'étendre l'approche à réseau de neurone au …