Biometrics combined with cryptography can be employed to solve the conceptual and factual identity frauds in digital authentication. Biometric traits are proven to provide enhanced security for detecting crimes because of its interesting features such as accuracy, stability and uniqueness. Although diverse techniques have been raised to address this objective, limitations such as higher computational time, minimal accuracy and maximum recognition time remain. To overcome these challenges an enhanced iris recognition approach has been proposed based on Hyper Elliptic Curve Cryptography (HECC). The proposed study uses 2D Gabor filter approach for perfect feature extraction in iris preprocessing. Light weight cryptographic scheme called HECC was employed to encrypt the iris template to avoid intentional attack by the intruders. The benchmark CASIA Iris V-4 and IITD Iris datasets were used in the proposed approach for experimental analysis. The result analysis witnessed that the prime objective of the research such as lesser false acceptance rate, lesser false rejection rate, maximum accuracy of 99.74%, maximum true acceptance rate of 100%, and minimal recognition time of 3 seconds has been achieved. Also it has been identified that the proposed study outperforms other existing well known techniques.