Investigating the use of the Siamese network for face sketch – photo recognition
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Abstract
Nowadays, there is an increase in the number of CCTV everywhere. However, there are still many cases when CCTV cannot capture criminal activities and officers have to rely heavily on the eyewitness report. The eyewitness report is used as a piece of evidence and creates forensic face sketches of the criminals. The accuracy of a forensic face sketch is normally low depending on the memory of the eyewitness and the ability of the eyewitness to explain. Therefore, identifying persons from forensic face sketches is very challenging. Moreover, manually searching for the suspected photo from a large database by using a forensic face sketch as input is rather impossible. As a result, in this research, we propose an algorithm to match a forensic face sketch to a suspected photo in a database. The model used is the Siamese network with a twin convolution neural network. The performance of this proposed network is investigated by using the dataset from the Chinese University of Hong Kong (CUHK).
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