Abstract
For its sensitive dependence with the Initial value,chaos can be applied to the pattern recognition of the ones with extremely small difference.An algorithm based on chaotic neural network was proposed and used for face recognition.For introducing chaotic noise,the network obtains a better anti-jamming.It can avoid being affected by the factors such as illumination and gesture.And many complex feature extractions can be avoided.Experimental results based on ORL face database show that the precision of the chaotic neural network algorithm is higher and the iteration steps are fewer and the speed of convergence is quicker.Chaotic neural network used for face recognition is effective and it can enhance recognition rate.
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