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BIOmetrics, Medical Image and Signal Analysis research group pursues research on the development of new algorithms for biometrics and computer aided diagnostic (CAD) systems for medical applications using state of the art image/signal processing, pattern recognition and machine learning techniques.

Biometrics: Biometric authentication refers to the identification of humans by their characteristics or traits. Biometrics is used in computer science as a form of identification and access control. We have done research on fingerprint recognition, retinal recognition and ear recognition. We are currently doing more work on retinal recognition. So interested students are also welcome. In future we will also work on palm print recognition, hand vein recognition and foot print recognition.

Medical Image/Signal  Analysis: New research in the field of medical and biological image/signal analysis, with special emphasis on efforts to diagnose various diseases by automated systems is the main aim of this group. We have done work on liver CT segmentation, lung nodule detection, fusion of cardiac CT images and Thallium scan and lastly Retinal Image Analysis. We are currently doing more work on Diabetic retinopathy, diabetic Maculopathy, Glaucoma, Age related macular degeneration, OCT analysis for retinal diseases.

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Most of our projects have been funded from National ICT R&D Fund for proper
execution. These projects include Fingerprint recognition, retina recognition and Analysis of retinal image for diagnosis of retinopathy etc.