Visible to the public Improvement of Security in Multi-Biometric Cryptosystem by Modulus Fuzzy Vault Algorithm

TitleImprovement of Security in Multi-Biometric Cryptosystem by Modulus Fuzzy Vault Algorithm
Publication TypeConference Paper
Year of Publication2021
AuthorsSreemol, R, Santosh Kumar, M B, Sreekumar, A
Conference Name2021 International Conference on Advances in Computing and Communications (ICACC)
Date Publishedoct
KeywordsBidirectional Deer Hunting optimization Algorithm, Boosted Double Plateau Histogram Equalization, Clustering algorithms, Ear, feature extraction, Fingerprint recognition, Fuzzy Cryptography, Histograms, image segmentation, Measurement, Metrics, Modified Balanced Iterative Reducing and Clustering using Hierarchies, Modulus Fuzzy Vault, pubcrawl, resilience, Resiliency, Scalability
AbstractNumerous prevalent techniques build a Multi-Modal Biometric (MMB) system that struggles in offering security and also revocability onto the templates. This work proffered a MMB system centred on the Modulus Fuzzy Vault (MFV) aimed at resolving these issues. The methodology proposed includes Fingerprint (FP), Palmprint (PP), Ear and also Retina images. Utilizing the Boosted Double Plateau Histogram Equalization (BDPHE) technique, all images are improved. Aimed at removing the unnecessary things as of the ear and the blood vessels are segmented as of the retina images utilizing the Modified Balanced Iterative Reducing and Clustering using Hierarchy (MBIRCH) technique. Next, the input traits features are extracted; then the essential features are chosen as of the features extracted utilizing the Bidirectional Deer Hunting optimization Algorithm (BDHOA). The features chosen are merged utilizing the Normalized Feature Level and Score Level (NFLSL) fusion. The features fused are saved securely utilizing Modulus Fuzzy Vault. Upto fusion, the procedure is repeated aimed at the query image template. Next, the de-Fuzzy Vault procedure is executed aimed at the query template, and then the key is detached by matching the query template's and input biometric template features. The key separated is analogized with the threshold that categorizes the user as genuine or else imposter. The proposed BDPHE and also MFV techniques function efficiently than the existent techniques.
Citation Keysreemol_improvement_2021