In the age of video
surveillance when cops depend heavily on CCTV and video footage to nail
culprits, Gujarat University forensic science researcher's new facial
recognition software, which boasts of enhancing even a blurry image to help in
facial recognition, has come as a boon.
The software developed by forensic science researcher Twisha Shah uses mathematical calculations to take the physical measurements of the person's face and confirming his/her identity.
“In cases where there is no proper fingerprint or DNA evidence available, police has to depend on video surveillance footage. In such situations facial anthropometry, which is a scientific process of identifying physical measurement of a person's face, can be useful in confirming the identity of individual, “said Twisha Anthropometry is a method that helps in identifying physical measurement of a person's size, form, and functional capacities. It can be used in certain circumstances to facilitate comparison of a photograph of a suspect with the potential offender portrayed in video surveillance crime footage.
She further explained that her software helps in creating photogrammetric model of the face, by eliminating the distortions caused by camera angles. “Many a times, cops fail to get a clear picture due to distortion. In such cases, image enhancing software also fails to recognise the person. But this software will take facial measurements which can then be matched with the photograph of a suspect, “said Twisha.
This process helps in confirming the identity of individuals based on facial descriptions and for use as a comparison tool in forensic identification.
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