Review of Forensic Facial Reconstruction in Crime Investigation | ||||
| International Journal of Applied Intelligent Computing and Informatics | ||||
| Volume 1, Issue 1, May 2025, Page 40-43 PDF (303.81 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijaici.2025.335357.1001 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Doaa Mohammed Mohammed Mohammed Ibrahem  1; Mostafa Elgendy1; Mohamed Taha 2
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| 1Department of Computer Science, Faculty of Computers and Artificial Intelligence, Benha University, Benha, Egypt | ||||
| 2Faculty of Computers & Artificial Intelligence, Benha University, Benha, Qalyubia Governorate, Egypt. | ||||
| Abstract | ||||
| Crimes are carried out all around, these crimes include murder, robbery, assault, etc. These illegal actions endanger public security and safety. Following a crime, detectives frequently depend on eyewitness testimony to provide vital information. At a crime scene, eyewitnesses could remember information about the look of the criminal, including the form of the eyes, nose, mouth, and other characteristics defining a person. While law enforcement personnel need questions to identify suspects, conventional hand-drawn pictures usually fall short as they lack much information. This lack of clarity can complicate research and slow down the identifying process. These hand-drawn depictions can be transformed into realistic photos to significantly increase the effectiveness of criminal investigations, therefore addressing this issue. Modern imaging technology lets law enforcement personnel generate more accurate visual profiles depending on eyewitness evidence. The more exact identification of face features is made possible by color photos capturing a greater spectrum of tiny details. This technology not only speeds up criminal solving but also significantly increases public safety. | ||||
| Keywords | ||||
| Eyewitness testimony; Facial features; Hand-drawn Images; Realistic photos | ||||
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