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With the ever-increasing concern on the social security and antiterrorism, gait recognition has remarkable advantages in remote surveillance. However, gait recognition hasn’t been developed a practical algorithm or even the academic framework yet because many challenging problems need be tackled, which mostly concentrate on dimensional reduction and feature extraction. Based on locality preserving projections (LPP), an orthogonal discriminant LPP (ODLPP) algorithm is proposed for gait recognition. The experimental results on the gait database show that ODLPP is more effective and feasible for gait recognition.