Scale-angle CWT features: application in object recognition
Romain Murenzi, Weiping Zhai, Kameswara R. Namuduri, Lance Kaplan · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1999
This paper discusses the utility of scale-angle continuous wavelet transform features for object classification. These features are used as input to two algorithms: character recognition and target recognition in FLIR images. The corresponding recognition algorithm is robust against noise and allows data reduction. A comparative study is made between two types of directional wavelets derived from the Mexican hat wavelet and the usual template matching.