Color component marking and convolution-based encoding for polychromatic pattern recognition

A novel method for polychromatic pattern recognition is proposed based on color component marking and convolution-based encoding. Three random phase functions are first chosen as marks to multiply with the three color components of the input images. Then the three marked color components are combined into one image using convolution-based encoding. Finally, the combined images are served as the input images of the JTC to be recognized. The feasibility and effectiveness of the proposed method are demonstrated by numerical results.

► Single-channel color recognition system is constructed by color component marking and convolution-based encoding.
► Recognition system can implement logical-like operation in itself.
► Encoding preprocess used in this paper is quite simple and can be realized by optical method.