2014 International Symposium on Technology Management and Emerging Technologies 2014
DOI: 10.1109/istmet.2014.6936516
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Biometric attendance

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Cited by 15 publications
(4 citation statements)
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“…Electronic systems may identify students through a unique device (eg, identification card) or biometrics. 12 – 17 Fingerprints are often used as the identifying biometric, although others are also used, including the eyes, face, ear shape, and voice recognition. However, many electronic methods require a fixed location and are not practical for use in clinical settings at present.…”
Section: Discussionmentioning
confidence: 99%
“…Electronic systems may identify students through a unique device (eg, identification card) or biometrics. 12 – 17 Fingerprints are often used as the identifying biometric, although others are also used, including the eyes, face, ear shape, and voice recognition. However, many electronic methods require a fixed location and are not practical for use in clinical settings at present.…”
Section: Discussionmentioning
confidence: 99%
“…Various researchers in academic and industries have developed biometric identity system using face, iris and fingerprint [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. The nexus of this research is to design, construct and implement an IOT-based biometric system with a view to curbing insecurity in Cross River University of Technology, Calabar and other institutions in Nigeria.…”
Section: Introductionmentioning
confidence: 99%
“…Many researchers have utilized different technologies, solo or in combination, as attendance systems such as Raspberry Pi server, matric card, barcode scanner, motion sensor, RFID, SQL databased, Arduino, NFC, biometric fingerprint identifier, and ZigBee (Abas et al, 2014;Arbain et al, 2014;Hasan et al, 2014;Kassem et al, 2010;Li et al, 2010;Mohamed and Raghu, 2012;Moksin and Yasin, 2009;Othman et al, 2012;Peter et al, 2013;Said et al, 2014;Singh et al, 2015;Subpratatsavee et al, 2014;Zainal et al, 2014;Zhi et al, 2014) as cited in Sarker et al (2016). Scholars have also investigated the utilization of Beacon technology in automated attendance systems.…”
Section: Introductionmentioning
confidence: 99%