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Cite this DOI

10.46243/jst.2020.v5.i3.pp218-224 · Smart Driving License Verification System

APA (7th edition)

Longman Publishers (2020). Smart Driving License Verification System. *Journal of Science & Technology*, *5*(3), 218–224. https://doi.org/10.46243/jst.2020.v5.i3.pp218-224

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{anon2020smart,
  title     = {{Smart Driving License Verification System}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {may},
  volume    = {5},
  number    = {3},
  pages     = {218--224},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i3.pp218-224},
  url       = {https://doi.org/10.46243/jst.2020.v5.i3.pp218-224},
  language  = {en},
  abstract  = {The driving license system is very difficult to monitor via old conventional methods. The conventional verification system involves wastage of time and a chance to lead corruption. This project represents a biometricbased System for driving licensing verification. Biometrics is one of the most critical emerging technologies of the 21st century. From the various biometric features, Finger Print is one of the best. To keep the record of attendance report of students has become a very difficult work because sometimes their attendance may be recorded or missed. To deal with this problem i.e. to get the attendances recorded correctly we are using two different technologies viz. embedded system and biometrics. It is a very useful biometric-based driving license monitoring system that is easy and more suitable to monitor. Fingerprint verification is an important biometric technique for human identification. In this project, we represent a prototype automatic license authentication system. It uses fingerprints to verify the identity of an individual. In this project, we use the Fingerprint authentication scheme which is a non-imitable biometric authentication scheme. Using biometric authentication, we can try to avoid the non-licensed person from driving. While issuing the license, the specific person’s fingerprint is to be stored on the webserver along with its details. So at anywhere, the person should place on his finger on the fingerprint reader}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Smart Driving License Verification System
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/05/29/
VL  - 5
IS  - 3
SP  - 218
EP  - 224
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The driving license system is very difficult to monitor via old conventional methods. The conventional verification system involves wastage of time and a chance to lead corruption. This project represents a biometricbased System for driving licensing verification. Biometrics is one of the most critical emerging technologies of the 21st century. From the various biometric features, Finger Print is one of the best. To keep the record of attendance report of students has become a very difficult work because sometimes their attendance may be recorded or missed. To deal with this problem i.e. to get the attendances recorded correctly we are using two different technologies viz. embedded system and biometrics. It is a very useful biometric-based driving license monitoring system that is easy and more suitable to monitor. Fingerprint verification is an important biometric technique for human identification. In this project, we represent a prototype automatic license authentication system. It uses fingerprints to verify the identity of an individual. In this project, we use the Fingerprint authentication scheme which is a non-imitable biometric authentication scheme. Using biometric authentication, we can try to avoid the non-licensed person from driving. While issuing the license, the specific person’s fingerprint is to be stored on the webserver along with its details. So at anywhere, the person should place on his finger on the fingerprint reader
DO  - 10.46243/jst.2020.v5.i3.pp218-224
UR  - https://doi.org/10.46243/jst.2020.v5.i3.pp218-224
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2020.v5.i3.pp218-224",
    "DOI": "10.46243/jst.2020.v5.i3.pp218-224",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i3.pp218-224",
    "title": "Smart Driving License Verification System",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "issued": {
        "date-parts": [
            [
                2020,
                5,
                29
            ]
        ]
    },
    "volume": "5",
    "issue": "3",
    "page": "218-224",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The driving license system is very difficult to monitor via old conventional methods. The conventional verification system involves wastage of time and a chance to lead corruption. This project represents a biometricbased System for driving licensing verification. Biometrics is one of the most critical emerging technologies of the 21st century. From the various biometric features, Finger Print is one of the best. To keep the record of attendance report of students has become a very difficult work because sometimes their attendance may be recorded or missed. To deal with this problem i.e. to get the attendances recorded correctly we are using two different technologies viz. embedded system and biometrics. It is a very useful biometric-based driving license monitoring system that is easy and more suitable to monitor. Fingerprint verification is an important biometric technique for human identification. In this project, we represent a prototype automatic license authentication system. It uses fingerprints to verify the identity of an individual. In this project, we use the Fingerprint authentication scheme which is a non-imitable biometric authentication scheme. Using biometric authentication, we can try to avoid the non-licensed person from driving. While issuing the license, the specific person’s fingerprint is to be stored on the webserver along with its details. So at anywhere, the person should place on his finger on the fingerprint reader",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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