Cite this DOI

Longman Publishers (2020). Face Detection with Machine Learning and Open CV Classifier. *Journal of Science & Technology*, 100–106. https://doi.org/10.46243/jst.2020.v5.i6.pp100-106

@article{anon2020face,
  title     = {{Face Detection with Machine Learning and Open CV Classifier}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {oct},
  number    = {Volume 5},
  pages     = {100--106},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i6.pp100-106},
  url       = {https://doi.org/10.46243/jst.2020.v5.i6.pp100-106},
  language  = {en},
  abstract  = {In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade\_frontalface\_default classifier, python and its module.}
}

TY  - JOUR
TI  - Face Detection with Machine Learning and Open CV Classifier
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/10/16/
IS  - Volume 5
SP  - 100
EP  - 106
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module.
DO  - 10.46243/jst.2020.v5.i6.pp100-106
UR  - https://doi.org/10.46243/jst.2020.v5.i6.pp100-106
ER  -

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    "id": "10.46243/jst.2020.v5.i6.pp100-106",
    "DOI": "10.46243/jst.2020.v5.i6.pp100-106",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i6.pp100-106",
    "title": "Face Detection with Machine Learning and Open CV Classifier",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "issued": {
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                2020,
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    "issue": "Volume 5",
    "page": "100-106",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "In the last few years, face recognitions owned considerable consideration and liked together of the foremost used functions within the area of image evaluation and recognition. Face detection reflects on consideration of an incredible section of face attention operations. The technique of face detection in pixels is elaborate with many features’ variabilities provided throughout human faces. Faces include pose, expression, smile, role and orientation, pores and complexion, the presence of glasses or facial hair, variations in digicam gain, lighting conditions, and photo resolutions. Haar Cascade classifier is of outstanding assist when performing this undertaking smoothly. Face detection goes to possess a dramatic impression on the face detection field, as a result, familiarizing yourself with its functions like attendance recording system with the help of camera, Mask detection system. In this paper, we proposed a face detection system for the utilization of computer learning, especially OpenCV. The mandatory step required is face detection which we did with the usage of a broadly used step referred to as the haarcascade_frontalface_default classifier, python and its module.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2020.v5.i6.pp100-106 gives all four in one JSON answer.