Target Recognition Based on Feature Extraction of Decryption

To carry out an effective classification and recognition for target, this paper studies the target owned characteristics, discusses a decryption algorithm, gives a feature extraction method based on the decryption process, and extracts the feature of palmprint in region of interest. Moreover, this paper uses the wavelet transform to extract the energy feature of target, gives an approach of matching and recognition to improve the correctness and efficiency of existing recognition approaches, and compares it with existing approaches of palmprint recognition by experiments. The experiment results show that the correct recognition rate of the approach in this paper is improved averagely by 2.34% than that of the existing recognition approaches. These researches in this paper can provide a new way of thinking for the researchers in pattern recognition field.