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Biometric Recognition Using Unimodal and Multimodal Features

Sarala Patil

Biometrics is the discipline and technology of measuring and examining biological data of human body, extracting a different feature set from the acquired data, and comparing this set against to the database temples set in the database. Tentative studies highlight that Unimodal biometric scheme had many drawbacks regarding performance and correctness. Multimodal biometric systems perform best as compare to unimodal biometric systems and are popular even then more complex also. We experiment and examine the accuracy and enactment of multimodal biometric authentication systems using state of the art Commercial Off- The-Shelf (COTS)products. In the proposed research work we discuss fingerprint as well as face biometric systems, conclusion and fusion techniques used in these approach. We also discuss their benefits over unimodal biometric systems.

Отказ от ответственности: Этот реферат был переведен с помощью инструментов искусственного интеллекта и еще не прошел проверку или верификацию

Индексировано в

Индекс Коперника
Академические ключи
CiteFactor
Космос ЕСЛИ
РефСик
Университет Хамдарда
Всемирный каталог научных журналов
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos

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