سال انتشار:

2021

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عنوان انگلیسی مقاله:

Retrieval performance analysis of multibiometric database using optimized multidimensional spectral hashing based indexing

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ترجمه فارسی عنوان مقاله:

تجزیه و تحلیل عملکرد بازیابی پایگاه داده چند سنجی با استفاده از نمایه سازی بهینه سازی طیفی چند بعدی بهینه سازی شده

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منبع:

Sciencedirect - Elsevier - Journal of King Saud University - Computer and Information Sciences, 33 (2021) 110-117: doi:10:1016/j:jksuci:2018:02:003

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نویسنده:

B. Revathi

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چکیده انگلیسی:

Demand for efficient retrieval of data from biometric databases is increasing due to its widespread authentication applications that range from e-passport to attendance system. Major research contribution in this area is by using tree based indexing methods and data independent random hashing methods. In this work, the data dependent hashing technique using optimized multidimensional spectral hashing that uses hash table lookup is employed. Palmprint, Iris and Face biometric features are generated using GIST, optimized features are fused based on bio-inspired cuckoo search algorithm and then converted into binary hash code. The compact binary codes representing the fused features form the multibiometric database on which the retrieval performance is analyzed. Simulation results obtained indicate that the hit rate and penetration rate have improved considerably for the desired recognition accuracy.© 2018 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords: Biometrics | Retrieval | Cuckoo search | Fusion | Hashing

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قیمت: رایگان

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توضیحات اضافی:

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