期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：6
页码：1267-1274
DOI：10.35629/5252-030611101122
语种：English
出版社：IJAEM JOURNAL
摘要：Facial sketches are widely used by law enforcement agencies to assist in the identification and apprehension of suspects involved in criminal activities. Sketches used in forensic investigations are made by forensic artists following the verbal description provided by an eyewitness or the victim. These sketches are posted publicly in hopes that some viewers would provide information about the identity of the suspect. This method of identifying suspects is slow and tedious and may not lead to apprehension of the suspect. In forensic science, it is observed that hand-made face sketches are still very limited and time consuming when it comes to usingthem for recognition and identification of criminals. In this paper, we present an application which would allow users to create composite face sketches of the suspect without the help of any professional artists by usingdrag and drop features in the application and then the application can predict or match the drawn composite face sketch with the police in an efficient way usingdeep learning and cloud infrastructure.
