Abstract
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 hyperelliptic curve cryptography (HECC). The proposed study uses the 2D Gabor filter approach for perfect feature extraction in iris preprocessing. A lightweight 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.
Highlights
With the advancement of information technology, there is a gradual increase in crime and identity fraud
(i) Iris preprocessing with the 2D Gabor filter can be used on normalized iris image for enhanced feature extraction (ii) A novel approach called hyperelliptic curve cryptography (HECC) can be used for encryption of original iris template as this is a lightweight cryptographic mechanism which provides much higher security in less computational time (iii) Fuzzy logic can be included in verification phase to increase the accuracy and recognition rate
The steps involved in HECC approach are (a) Extended Complex Multiplication (ECM) to select the proper genus 2 HEC with cardinality N, (b) Restricted Iris Template (RIT) to reduce the template size within 64 bits, and (c) Point to Divisor Conversion (PDC) algorithm to convert HEC points to divisors which is based on the Mumford representation
Summary
With the advancement of information technology, there is a gradual increase in crime and identity fraud. The need for encryption in the iris recognition is when original template is stored in database; the intruder may compromise and give access to sensitive data of a user To overcome these challenges, HECC is proposed for encrypting the iris template. Enhanced iris recognition with HECC encryption [2] and fuzzy logic for feature matching has been developed and tested, and result shows that it provides very θ. No applications have been proposed in combination with iris recognition with HECC encryption and fuzzy logic.
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