Year: 2023
Type: article
Abstract: Open face recognition provides an uncertain challenge to criminal face identification. Thus, this recognition has many uses, from security to entertainment. Even if other biometric characteristics like iris and fingerprints are reliable, a person must be present to use them. Therefore, there are better tools for thieves to use for authentication. Anyone can recognize a criminal in an image using face recognition technology in conjunction with a criminal database containing the individual's personal information. In addition to needing great accuracy, a criminal recognition system also needs to be flexible to numerous variations in illumination, occlusion, maturity level, postures, etc. We use the Haar cascade and Histograms of oriented gradients (HOG) recognition learning systems discussed and contrasted in this study. We assessed models, and HOG outperformed the criminal recognition system. We also go through several practical uses for this criminal recognition.
Source: Science Talks
Authors: Ajay Kumar, Rishi Gupta
Institution: Manipal University Jaipur
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $700
OpenAlex ID: W4367172155