  This paper presents a novel multi scale gradient and a corner point based
shape descriptors. The novel multi scale gradient based shape descriptor is
combined with generic Fourier descriptors to extract contour and region based
shape information. Shape information based object class detection and
classification technique with a random forest classifier has been optimized.
Proposed integrated descriptor in this paper is robust to rotation, scale,
translation, affine deformations, noisy contours and noisy shapes. The new
corner point based interpolated shape descriptor has been exploited for fast
object detection and classification with higher accuracy.
