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This paper is related to the development of an innovative multimodal biometric identification system. Unimodal biometric systems often face significant limitations due to sensitivity to noise intraclass variability and other factors. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In greater detail, a Multimodal Biometric Identification System Based On Iris & Fingerprint. Both biometric traits (Iris & Fingerprint) are processed individually through all steps like segmentation ,feature extraction & matching. The multimodal system is fused using match level fusion at the verification stage on obtained matching score of iris and fingerprint. The performance of the biometric system shows improvement in the False Acceptance Rate (FAR) and False Reject Rate (FRR) .The proposed multimodal system achieves interesting results with several commonly used databases. Keywords - Unimodal biometrics, multimodal biometric systems, iris and fingerprint biometry.