A new method of multi-objeets rotation invariance classfieation is presented. The principle of object rotation invariance clssification is many-to-one associative memory model. In order to implement easily with optoelectronical techniques and to use the time- and space- bandwidth products sufficiently, unipolar model and a binary interconnection weights are used. To overcome the shortcoming of low storage capacity caused by unipolar model, a distributed thresholding is employed. Because of associate memory model cascaded WTA model by a suitable associate memory codes, the storage capacity and error-tolerant ability of the system are improved. The results of computer simulation are given and an opto-electronics system is presented.