Title :
A complete shape recognition system using the Hough transform and neural network
Author :
Chan, C.K. ; Sandler, M.B.
Author_Institution :
Dept. of Electron. & Electr. Eng., KCL, London Univ., UK
fDate :
30 Aug-3 Sep 1992
Abstract :
A Hough transform based neural network shape recognition system has been developed. The authors propose a new technique for 2-D shape recognition based on the peak and envelope vectors extracted from the Hough space. The vectors are fed into a neural network which performs both the learning and recognition tasks
Keywords :
image recognition; learning systems; neural nets; transforms; 2D image recognition; Hough transform; envelope vectors; learning systems; neural network; peak vectors; shape recognition; Data mining; Feature extraction; Image edge detection; Image recognition; Kirchhoff´s Law; Neural networks; Noise robustness; Noise shaping; Pattern recognition; Shape;
Conference_Titel :
Pattern Recognition, 1992. Vol.II. Conference B: Pattern Recognition Methodology and Systems, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2915-0
DOI :
10.1109/ICPR.1992.201713
