New construction method of bidirectional associative memory for object recognition

Te-Shin Chen; Kang-Ping Lin; Being-Tau Chung

doi:10.1117/12.233229

27 February 1996 New construction method of bidirectional associative memory for object recognition

Te-Shin Chen, Kang-Ping Lin, Being-Tau Chung

Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233229
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States

Abstract

A new construction method of bi-directional associative memory (BAM) for image pattern/object recognition is proposed in this paper. The strategy of the method is based on combining the major information of each object from both spatial domain and frequency domain images. The BAM model is reconstructed by input object features and the input object's Fourier spectrum. After the BAM reconstruction, each similar input pattern can be retrieved or recognized using the two-layer neural network automatically. The presented reconstruction method allows any new input object to be stored and added into the original BAM model without extra training procedure. Experimental results indicate that the system performs good recognition ability for input object with noise. The method also provides a distortion correction way for the deformed objects. The system has been implemented in a PC- based computer.

Citation Download Citation

Te-Shin Chen, Kang-Ping Lin, and Being-Tau Chung "New construction method of bidirectional associative memory for object recognition", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233229

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