Cite this DOI

Abdul Sattar, D., & Ahmed, M. K. (2021). CRIMINAL DETECTION USING FACE RECOGNITION SYSTEM. *Journal of Science & Technology*, *06*(05), 177–184. https://doi.org/10.46243/jst.2021.v6.i05.pp177-184

@article{abdulsattar2021criminal,
  author    = {Abdul Sattar, Dr.Syed and Ahmed, Mohd Khaleel},
  title     = {{CRIMINAL DETECTION USING FACE RECOGNITION SYSTEM}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {sep},
  volume    = {06},
  number    = {05},
  pages     = {177--184},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i05.pp177-184},
  url       = {https://doi.org/10.46243/jst.2021.v6.i05.pp177-184},
  language  = {en},
  abstract  = {The face is crucial for human identity. It is the feature which best distinguishes a person. Face recognition is an interesting and challenging problem and impacts important applications in many areas such as identification for law enforcement, authentication for banking and security system access and personal identification among others. Face recognition is an easy task for humans but it’s an entirely different and difficult task for a computer. Face recognition based on the geometric features of a face is probably the most instinctive approach for human identification. The whole process can be divided into three major steps where the first step is to find a good database of faces with multiple images for each individual. The next step is to detect faces in the database images and use them to train the face recognizer and the final step is to test the face recognizer, if it recognizes the faces it was trained with. There is an abnormal increase in the crime rate and also the number of criminals. This leads towards a great concern about the security issues. Crime prevention and criminal identification are the primary issues that police personnel face. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The CCTV footage can be used to identify suspects on the scene. The model will be able to recognize criminals, whose pictures the model is initially trained with, using Convolution Neural Networks, Artificial Neural Networks and OpenCV and further send a message to the cops about the location and other details of the criminal.}
}

TY  - JOUR
TI  - CRIMINAL DETECTION USING FACE RECOGNITION SYSTEM
AU  - Abdul Sattar, Dr.Syed
AU  - Ahmed, Mohd Khaleel
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/09/05/
VL  - 06
IS  - 05
SP  - 177
EP  - 184
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The face is crucial for human identity. It is the feature which best distinguishes a person. Face recognition is an interesting and challenging problem and impacts important applications in many areas such as identification for law enforcement, authentication for banking and security system access and personal identification among others. Face recognition is an easy task for humans but it’s an entirely different and difficult task for a computer. Face recognition based on the geometric features of a face is probably the most instinctive approach for human identification. The whole process can be divided into three major steps where the first step is to find a good database of faces with multiple images for each individual. The next step is to detect faces in the database images and use them to train the face recognizer and the final step is to test the face recognizer, if it recognizes the faces it was trained with. There is an abnormal increase in the crime rate and also the number of criminals. This leads towards a great concern about the security issues. Crime prevention and criminal identification are the primary issues that police personnel face. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The CCTV footage can be used to identify suspects on the scene. The model will be able to recognize criminals, whose pictures the model is initially trained with, using Convolution Neural Networks, Artificial Neural Networks and OpenCV and further send a message to the cops about the location and other details of the criminal.
DO  - 10.46243/jst.2021.v6.i05.pp177-184
UR  - https://doi.org/10.46243/jst.2021.v6.i05.pp177-184
ER  -

{
    "type": "article-journal",
    "id": "10.46243/jst.2021.v6.i05.pp177-184",
    "DOI": "10.46243/jst.2021.v6.i05.pp177-184",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i05.pp177-184",
    "title": "CRIMINAL DETECTION USING FACE RECOGNITION SYSTEM",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Abdul Sattar",
            "given": "Dr.Syed"
        },
        {
            "family": "Ahmed",
            "given": "Mohd Khaleel"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2021,
                9,
                5
            ]
        ]
    },
    "volume": "06",
    "issue": "05",
    "page": "177-184",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The face is crucial for human identity. It is the feature which best distinguishes a person. Face recognition is an interesting and challenging problem and impacts important applications in many areas such as identification for law enforcement, authentication for banking and security system access and personal identification among others. Face recognition is an easy task for humans but it’s an entirely different and difficult task for a computer. Face recognition based on the geometric features of a face is probably the most instinctive approach for human identification. The whole process can be divided into three major steps where the first step is to find a good database of faces with multiple images for each individual. The next step is to detect faces in the database images and use them to train the face recognizer and the final step is to test the face recognizer, if it recognizes the faces it was trained with. There is an abnormal increase in the crime rate and also the number of criminals. This leads towards a great concern about the security issues. Crime prevention and criminal identification are the primary issues that police personnel face. With the advent of security technology, cameras especially CCTV have been installed in many public and private areas to provide surveillance activities. The CCTV footage can be used to identify suspects on the scene. The model will be able to recognize criminals, whose pictures the model is initially trained with, using Convolution Neural Networks, Artificial Neural Networks and OpenCV and further send a message to the cops about the location and other details of the criminal.",
    "ISSN": "2456-5660"
}

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.2021.v6.i05.pp177-184 gives all four in one JSON answer.