Real-time Sign Object Detection in Subway station using Rotation-invariant Zernike Moment

Contours Extraction Using Line Detection and Zernike Moment

Most of the contour detection methods suffers from some drawbacks such as noise, occlusion of objects, shifting, scaling and rotation of objects in image which they suppress the recognition accuracy. To solve the problem, this paper utilizes Zernike Moment (ZM) and Pseudo Zernike Moment (PZM) to extract object contour features in all situations such as rotation, scaling and shifting of object i...

Robust Real-time and Rotation-invariant American Sign Language Alphabet Recognition Using Range Camera

The automatic interpretation of human gestures can be used for a natural interaction with computers without the use of mechanical devices such as keyboards and mice. The recognition of hand postures have been studied for many years. However, most of the literature in this area has considered 2D images which cannot provide a full description of the hand gestures. In addition, a rotation-invarian...

Towards Real-Time and Rotation-Invariant American Sign Language Alphabet Recognition Using a Range Camera

The automatic interpretation of human gestures can be used for a natural interaction with computers while getting rid of mechanical devices such as keyboards and mice. In order to achieve this objective, the recognition of hand postures has been studied for many years. However, most of the literature in this area has considered 2D images which cannot provide a full description of the hand gestu...

Rotation Invariant Real-time Face Detection and Recognition System

In this report, a face recognition system that is capable of detecting and recognizing frontal and rotated faces was developed. Two face recognition methods focusing on the aspect of pose invariance are presented and evaluated | the whole face approach and the component-based approach. The main challenge of this project is to develop a system that is able to identify faces under di erent viewin...

Rotation Invariant Real - time Face Detection and Recognition System