Real-time online fingerprint image classification using adaptive hybrid techniques

Mishra, Annapurna; Dehuri, Satchidananda

doi:10.11591/ijece.v9i5.pp4372-4381

Cited by 3 publications

(3 citation statements)

References 19 publications

(33 reference statements)

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“…In a smart home, the security system is a very important part [19]- [24]. Fingerprint recognition is one of the most secure systems because a person's fingerprint is never coordinated with anyone else's [24]- [26]. So, someone's access to the door lock can be limited.…”

Section: Introductionmentioning

confidence: 99%

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Ubaidillah,

Arsadiando

et al. 2024

Comput Sci Inf Technol

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In 2023, crime cases in Indonesia will reach 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

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Section: Introductionmentioning

confidence: 99%

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Ubaidillah,

Arsadiando

et al. 2024

Comput Sci Inf Technol

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show abstract

“…So, someone's access to the door lock can be limited. This makes fingerprints the new automatic ID for every person [26]- [29]. With this idea, a plan and model of a fingerprint-based door lock framework will be presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Fingerprint based smart door lock system using Arduino and smartphone application

Sutikno,

Faqih Ubaidillah,

Arsadiando

et al. 2024

Comput. Sci. Inf. Technol.

View full text Add to dashboard Cite

In 2023, crime cases in Indonesia reached 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.

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“…A model of a fingerprint detection system is designed to work mainly on three principles: a stage of acquisition an image, stage of extraction and pattern matching. Stage imaging is the most important part; it involves obtaining an image using the fingerprint of the user interface [18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Real time model of a lock gate system upon fingerprint with microcontroller

Mahammad

Mashhadany

Eyada

2021

IJEECS

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<span>Safety is one of the most important things that we are keen to provide all aspects of our lives. Keyless lock gate with fingerprint access has many advantages over traditional systems such as passwords. Therefore, fingerprint identification represents the main part, which require that system is cheap, practical, easy to use and allows fast and securely. This paper discusses the design and implementation with real time model of a practical lock gate system for the achievement of high security by using fingerprint purification to control the mechanism of opening doors in banks, warehouses, laboratories and places of interest. In this paper, the microcontroller technology in the Ardonio board was used with an optical sensor to take the fingerprint, convert it into digital data, and insert it into a definition window to unify all input data and store it for use when compared to the system experience. After obtaining the result of the comparison, the appropriate commands are prepared for operating the servo of the lock mechanism for the doors used. In the testing of the system, the results are very accurate. The system also has other advantages such as small size and low power required for operation and ease of use. </span>

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Real-time online fingerprint image classification using adaptive hybrid techniques

Cited by 3 publications

References 19 publications

Fingerprint based smart door lock system using Arduino and smartphone application

Fingerprint based smart door lock system using Arduino and smartphone application

Fingerprint based smart door lock system using Arduino and smartphone application

Real time model of a lock gate system upon fingerprint with microcontroller

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