Android based advanced attendance vigilance system using wireless network with fusion of bio-metric fingerprint authentication

Adal, Hamim; Promy, Nawsheen; Srabanti, Sanjana; Rahman, Md. Ashikur

doi:10.23919/icact.2018.8323702

Cited by 8 publications

(7 citation statements)

References 4 publications

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“…Solid state sensors were used occasionally [48,58,88] while none of the attendance 9 Journal of Sensors system used ultrasound sensors. Other than that, Adal et al [17] proposed using mobile phones because nowadays most of these communication devices are equipped with a builtin fingerprint sensor and at a much lower price. In addition, most of the sensors captured the fingerprint image with resolution around 500 dpi.…”

Section: Fingerprint Sensormentioning

confidence: 99%

“…Typically, servers are used to store these data. Most of the servers were hosted on the computer workstation for easy access to attendance records and thus help in smoothing the attendance management [15,17,18,32,35,40,43,44,47,48,54,58,70,76,88,97,115]. Furthermore, a mobile internal database was also implemented whereby the user stored the attendance and course information on the server using mobile phones [100].…”

Section: Database Storagementioning

confidence: 99%

“…Fingerprint [17,[42][43][44]; face [81] Fingerprint [58,75,79,88] Fingerprint [47,48,115]; face [60] Database storage…”

Section: Database Storagementioning

confidence: 99%

“…The workplace and education domains applied biometric technology for attendance recording or tracking [15][16][17], accessing permission [18,19], and behavioral analysis [16,20,21]. Attendance records are used for an employee's payroll and to determine whether a student is eligible to sit for an exam.…”

Section: Introductionmentioning

confidence: 99%

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Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Hoo

Ibrahim

2019

Journal of Sensors

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The application of biometric recognition in personal authentication enables the growth of this technology to be employed in various domains. The implementation of biometric recognition systems can be based on physical or behavioral characteristics, such as the iris, voice, fingerprint, and face. Currently, the attendance tracking system based on biometric recognition for education sectors is still underutilized, thus providing a good opportunity to carry out interesting research in this area. As evidenced in a typical classroom, educators tend to take the attendance of their students by using conventional methods such as by calling out names or signing off an attendance sheet. Yet, these types of methods are proved to be time consuming and tedious, and sometimes, fraud occurs. As a result, significant progress had been made to mark attendance automatically by making use of biometric recognition. This progress enables a new and more advanced biometric-based attendance system being developed over the past ten years. The setting-up of biometric-based attendance systems requires both software and hardware components. Since the software and hardware sections are too broad to be discussed in one paper, this literature survey only provides an overview of the types of hardware used. Emphasis is then placed on the microcontroller platform, biometric sensor, communication channel, database storage, and other components in order to assist future researchers in designing the hardware part of biometric-based attendance systems.

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Section: Fingerprint Sensormentioning

confidence: 99%

Section: Database Storagementioning

confidence: 99%

“…Fingerprint [17,[42][43][44]; face [81] Fingerprint [58,75,79,88] Fingerprint [47,48,115]; face [60] Database storage…”

Section: Database Storagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Hoo

Ibrahim

2019

Journal of Sensors

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“…Though quick marking of attendance can be achieved up to some extent, RFID card damage may result in inappropriate attendance. Biometric [8] attendance system based on fingerprint may not effectively work during winter and also few persons fingerprints may not be captured by the receiver properly; on the other hand, IRIS based biometric attendance systems [1] need more amount of time to read. Apart from all the above limitations the major drawback of the existing systems is it is not cost effective to implement on large scale for organizations like educational institution where thousands of members need to mark their attendance within limited time.…”

mentioning

confidence: 99%

Student Attendance Management System using Principal Component Analysis Method

2020

IJITEE

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Attendance taking and maintaining is a tedious job in the academic institutions where the time of class is restricted. The manual attendance i.e., roll call or paper-based signature systems usually consumes more time and error prone and also possibility of recording proxy attendance is more. Attendance is one of the criteria in considering students’ eligibility for attending the external examinations and also for the promotion to the next semester / year, where these kinds of problems may cause severe effect on the academic institutions. As the strength of students in a class is increasing day by day; monitoring, awarding and maintenance of attendance has becoming a challenge for the academic institutions. As a solution, attendance can be recorded using anyone of the existing biometric techniques like fingerprinting, iris recognition, signature, face recognition etc. Face identification is the best method among all the earlier mentioned methods for implementing in the academic institutions as it does not require human intervention and it is a cost-effective technique. A novel student attendance recording and management system using a MATLAB application, LabVIEW, Camera interface and GSM is proposed in this paper. Students’ faces will be captured with the help of a camera connected to a computer and Eigen values of the captured images will be detected with the help of MATLAB executed by LabVIEW Mathscript node. LabVIEW, a graphical programming environment is adopted for acquiring face, processing and authenticating the student once the match is found. Authenticated student attendance will be updated, and a message will be sent with the help of GSM module interface to myRIO. Proposed system replaces the manual attendance system which improves the performance of existing system.

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Hand Down, Face Up: Innovative Mobile Attendance System Using Face Recognition Deep Learning

Agrawal

Garg

Prakash

et al. 2019

Proceedings of 3rd International Conference on Computer Vision and Image Processing

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Android based advanced attendance vigilance system using wireless network with fusion of bio-metric fingerprint authentication

Cited by 8 publications

References 4 publications

Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements

Student Attendance Management System using Principal Component Analysis Method

Hand Down, Face Up: Innovative Mobile Attendance System Using Face Recognition Deep Learning

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