Biometric recognition is based on some specific physiological and behavioral characteristics of human for an automatic identification of a person. Currently biometrics is used in ATMs, cell phones, bank, laptops, credit cards and social services. The authors have used multi biometric system for better recognition of person. This paper includes parameters like ear, voice and signature. PCA (Principal Component Analysis) algorithm for ear, MFCC (Mel Frequency Cepstral Coefficient) for voice and Shape matching for signature verification. They are using PCA algorithm because it gives feature compression, MFCC is used to give high level algorithm.