Forensic face sketch recognition
Article Information
Publication Timeline
- Received20 September 2021
- Accepted23 October 2021
Abstract
Crime has taken a drastic revolution, and so does the demand for enhancing the security of the forensic files and records. Nowadays, there is an increased requirement to use technological measures in the field of crime as well for identification, detection and recognition of the suspects.
To deal with safety and security biometric recognition is necessary. One of the most common biometric techniques is face recognition, as the face is one of the most convenient and reliable way of identification. On the contrary, hand-drawn sketches and sketchers are limited in number although sketches are drawn in almost every criminal case.
To come to the rescue, face recognition using a biometric mechanism using computer vision helps in solving the case in special circumstances where the suspects use masks to hide his face or some features. Suspect can conveniently hide the face like nose, eyes, lips, face colour, etc. but the outliner features of face cannot be duplicated.
Face sketches have essential information about the face structure and topology and to deal with such precision, there is a requirement of intervention with some assisted computer mechanisms like Deep Convolutional Neural Network which helps in recognizing specific features.
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How to Cite
Kumar, M. U. (2021). Forensic face sketch recognition. International Journal of Medical and All Body Health Research, 2(4), 64-69. https://doi.org/10.54660/IJMBHR.2021.2.4.64-69
Kumar, M. Upendra. "Forensic face sketch recognition." International Journal of Medical and All Body Health Research, vol. 2, no. 4, 2021, pp. 64-69. https://doi.org/10.54660/IJMBHR.2021.2.4.64-69.
Kumar, M. U. (2021) 'Forensic face sketch recognition', International Journal of Medical and All Body Health Research, 2(4), pp. 64-69. doi: 10.54660/IJMBHR.2021.2.4.64-69.
Kumar MU. Forensic face sketch recognition. International Journal of Medical and All Body Health Research. 2021;2(4):64-69. doi:10.54660/IJMBHR.2021.2.4.64-69
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