JIS-IASR works on video surveillance with its understanding. We use ultra-modern deep learning techniques for this.
We mostly work on the followings:
• Automation of various stages of video surveillance
• Object detection
• Tracking of moving objects
• Making of automated interpretation
• Making of automated decisions
JIS-IASR works on forensics and biometrics studies related to handwriting and eye. The handwriting analysis comes under behavioural biometrics, whereas the eye-image analysis is physical biometrics. We also work on face recognition. We use cutting-edge machine learning technologies for our research on forensics and biometrics.
Writer Verification and Identification:
Writer verification is a task used to authenticate a given document whether it is written by a certain individual or not. In writer identification, the goal is to match the writers to their handwriting specimens.
The idiosyncratic handwriting interprets individual eccentricities in penning a character. The idiosyncrasy analysis helps is handwriting inspection.
Struck-out/Crossed-out Stroke Analysis:
Crossed-out/Struck-out strokes also infers crucial information regarding the writer. We also use such information for handwriting inspection.
This centre works on cognitive analysis of reading and writing.
The eye biometrics is a strong biometric analysis. This centre mostly perform research with Sclera and Irish.
This centre works on face recognition, which is also a strong physical biometric.