关键词: 特征选择，生物视觉显著性，最小错误概率，车型识别，特征融合

Abstract: Vehicle type recognition is typical target recognition. According to biological vision and pattern recognition theory, the detection and recognition of vehicle type were researched. So, a novel method based on feature salience was presented to recognize vehicle type. Firstly, this algorithm extracts the multi-features of vehicle type and compares their salience. Then, the more salient feature was put larger power. Finally, the salient features were fused to recognize the vehicle type. The experimental results show that the algorithm has better identify rate.

Key words: Feature selection , Biological vision salience, Minimum probability of error, Vehicle type recognition, Feature fusion