Biometric is a unique, measurable physiological or behavioural characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometric for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric characteristic are used. In this project it is proposed to use EAR and RETINA as biometric traits. For EAR image processing. Force Field Transformation and Force Field Feature Extraction algorithm is used while in case of Retina. Discrete Cosine Transformation and Feature Extraction algorithm is used. Normalized features which are obtained from both algorithms are then fussed using Feature Level Fusion Technique and stored in the database. For identification, the procedure which is followed for enrollment is used and then matching is done.