2020
DOI: 10.11591/ijeecs.v20.i1.pp405-413
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Multimodal access control system combining RFID, fingerprint and facial recognition

Abstract: <span>Monomodal biometry does not constitute an effective measure to meet the desired performance requirements for large-scale applications, due to limita-tions such as noisy data, restricted degree of freedom and unacceptable error rates. Some of these problems can be solved through multimodal biometric systems that involve using a combination of two or more biometric modali-ties in a single identification system. Identification based on multiple biomet-rics represents an emerging trend. The reason for … Show more

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Cited by 6 publications
(7 citation statements)
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References 23 publications
(22 reference statements)
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“…Biometric-based smart gates exemplify an approach for authenticating user access rights through technologies that verify identity using anatomical or behavioral characteristics. Anatomical examples include face recognition [7], fingerprint identification [8], retina scanning [9], and iris verification [10]. Studies have shown that behavioral biometrics, such as voice recognition, are represented by studies [11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Biometric-based smart gates exemplify an approach for authenticating user access rights through technologies that verify identity using anatomical or behavioral characteristics. Anatomical examples include face recognition [7], fingerprint identification [8], retina scanning [9], and iris verification [10]. Studies have shown that behavioral biometrics, such as voice recognition, are represented by studies [11].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Reference [44] adopted a multifactor approach focusing on face recognition. They used face recognition, RFID, and fingerprints to investigate different scenarios to reduce the false acceptance and false rejection rates.…”
Section: ) Biometric-centered Systemsmentioning
confidence: 99%
“…This RFID uses electromagnetic fields to work [24]. This MFRC-522 module works at a frequency of 13.56 MHz Tag reading distance between 3cm-5cm [25]. Communication with this module is done via the SPI pin.…”
Section: B Designmentioning
confidence: 99%