The technology of all hand-shaped feature recognition in a parallel way is one of biometric identification technologies. This technology both has single-mode system lower cost advantage, but also has a higher recognition rate and better robustness. All handshaped features contain palmprint features, fingerprint characteristics and features of the hand. Fingerprinting feature recognition is a method of based on node and direction field. The palmprint feature recognition is based on weighted city distance’s method of wavelet analysis. The hand feature recognition is based on Euclidean distance’s method of feature vectors. The way of getting end result is three crude results of recognition through a way of parallel combination to obtain. The experimental results showed that: the system is stable, real-time, high recognition rate, and can achieve the desired objectives. The system is well positioned to meet the actual demand, and has broad application prospects.