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An AI Based Facial Generation system to Identify Criminals

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dc.contributor.author Weerakon, Moragalle Ishan Aravinda
dc.date.accessioned 2021-07-17T12:09:36Z
dc.date.available 2021-07-17T12:09:36Z
dc.date.issued 2020
dc.identifier.citation Weerakon, Moragalle Ishan Aravinda (2020)An AI Based Facial Generation system to Identify Criminals, BEng. Dissertation Informatics Institute of Technology en_US
dc.identifier.other 2016055
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/577
dc.description.abstract The importance of forensics is obvious when it comes to criminal investigations. This research focuses on a specific type of forensic evidence, which is forensic sketches. Throughout the years, forensic sketches have been hand drawn and there have been no proper software related solutions to address the problems in this domain. The problems with forensic sketches include the time taken to produce sketches, their accuracy and the lack of forensic sketch artists. The purpose of this project is to utilize the powers of generative image modelling and build a software-based solution to address the problems in producing forensic sketches and use them in criminal investigations. Generative Adversarial Networks has been a hot topic in computer science research, and it has proven to be able to generate photorealistic images. This project uses a conditional GAN to generate images based on a given description. This can be used by law enforcement agencies to input a description given by a witness to generate the criminals face. The model was developed and tested against some standard facial descriptions. The system was able to produce promising results and it proves the fact that generative adversarial models can be used to address the problems identified. With more time and more training data, this solution will be able to do wonders in the forensics domain. en_US
dc.subject Generative Image Modelling en_US
dc.subject Photorealistic images en_US
dc.subject Facial Generation Tool en_US
dc.title An AI Based Facial Generation system to Identify Criminals en_US
dc.type Thesis en_US


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