Development of Secure Multimodal Biometric System for Person Identification Using Feature Level Fusion: Fingerprint and Iris
Autor: | Almas M. N. Siddiqui, Rupali L. Telgad, Prapti D. Deshmukh, Savita A. Lothe |
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Rok vydání: | 2019 |
Předmět: |
Level fusion
Biometrics business.industry Computer science Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Identification (information) ComputingMethodologies_PATTERNRECOGNITION Fingerprint Feature (computer vision) Multimodal biometrics ComputerApplications_MISCELLANEOUS IRIS (biosensor) Experimental work Artificial intelligence InformationSystems_MISCELLANEOUS business |
Zdroj: | Communications in Computer and Information Science ISBN: 9789811391835 RTIP2R (2) |
Popis: | Biometrics is a technology used to identify, analyze, and measure an individual’s physical and behavioral characteristics. Multimodal biometric system can eliminate the limitation held by single biometric trait and provide improved precision so we have applied multimodal biometric system. Fingerprints and iris are two biometric features are used in this experimental work. |
Databáze: | OpenAIRE |
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