Smart city's vehicle login system with sensor chip

Vinoj, J.; Gavaskar, S.; Rameshkumar, G. P.; Priya, R.

doi:10.1109/icaca.2016.7887954

Cited by 5 publications

(1 citation statement)

References 3 publications

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“…Ghazal et al research on Fast Discrete Curvelet Transform (FDCvT) and Invariant Moments with Support vector machine (SVM), these two algorithms are used for face recognition [13]. J. Vinoj et al research to provide a security system in the smart city through the vehicle login system, the researcher developed a sensor chip-based model [14]. Kumar et al the researchers proposed a review paper based on face detection techniques [15].…”

Section: Literature Reviewmentioning

confidence: 99%

A smart login system using face detection and recognition by ORB algorithm

Alam

Chowdhury

Ali

2020

IJEECS

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<p>We can identify human faces using a web Camera which is known as Face Detection. This is a very effective technique in computer technology. There are used different types of attendance systems such as log in with the password, punch card, fingerprint, etc. In this research, we have introduced a facial recognition type of biometric system that can identify a specific face by analyzing and comparing patterns of a digital image. This system is the latest login system based on face detection. Primarily, the device captures the face images and stores the captured images into the specific path of the computer relating the information into a database. When any body tries to enter into any room or premises through this login system, the system captures the image of that particular person and matches the image with the stored image. If this image matches with the stored image then the system allows the person to enter the room or premises, otherwise the system denies entry. This face recognition login system is very effective, reliable and secured. This research has used the Viola and Jones algorithm for face detection and ORB for image matching in face recognition and Java, MySql, OpenCV, and iReport are used for implementation.</p>

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Section: Literature Reviewmentioning

confidence: 99%