CNN Based Criminal Identification
Gargi Tela, Sakshi Hiwarale, Shruti Dhave, Dhanashree Rathi · International Journal of Advanced Research in Science Communication and Technology · 2022
Considering abnormal increase in crime rate and number of criminals, there is a need of more effective Criminal Identification Technique. Biometric technique like thumb print identification is faded out today as criminals of these days obtaining cleverer to not leave their fingerprints on the scene. Human Face is the most important attribute to recognize any individual. It is a dynamic object having high degree of variability in its appearance which makes it a better identification technique among the other biometric techniques.But there are many challenges in Face Identification system too. Our project aims to overcome such challenges and evaluates various faces using Convolutional Neural Network (CNN) to provide a complete solution for Image based Face Detection with an accuracy of 76.19 for Criminal Identification.