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@article{150031,
        author = {SHIVA TAMRKAR and AYUSH GUPTA},
        title = {CRIMINAL FACE DETECTION SYSTEM USING PYTHON},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {2},
        pages = {181-184},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=150031},
        abstract = {Identification of criminal in Bharat (“INDIA”) is finished through thumb print or by matching the info with the “fir” records identification. However, this kind of identification is affected as most of criminal these days obtaining cleverer to not leave their fingerprint on the scene. With the appearance of security technology, cameras particularly CCTV are put in in several public and personal areas to produce police investigation activities. The footage of the CCTV will be accustomed establish suspects on scene. However, due to restricted code developed to mechanically sight the similarity between ikon within the footage and recorded ikon of criminals, the law enforce fingerprint identification. during this paper, an automatic face recognition system for criminal information was planned victimisation acknowledged Principal part Analysis approach.},
        keywords = {Face recognition, neural networks, feature matching},
        month = {},
        }