Multimodal Biometric Research Laboratory
Department of Computer Science and Information Technology
Professor Karbhari V. Kale
Program Coordinator
UGC SAP-II DRS (Phase-I & II)
Department of Computer Science and IT,
Dr. Babasaheb Ambedkar Marathwada University, Aurangabad
About MMBRL Laboratory
The Multimodal biometric research Laboratory is established in Department of Computer Science and Information Technology under the UGC SAP (Special Assistance Program) Phase-I& Phase –II under the coordinator Professor K. V. Kale. The Initiative objective of this research group is committed to make genuine and reliable contributions towards the scientific community. This research group hosts overmore significant Multimodal Biometric Initiative programs annually. i.e. Database acquisition training, science day innovation and technology meets, workshop and conferences. Overall 20 researcher are devoted their contribution towards the social and technological invention. This research group also turns the path towards the evaluation of the social impact of biometrics technology and other emerging trends in biometrics research. The work towards advances of deep learning architecture, EEG, HRV, Retinal abnormality of Major thalassemia Disease and Brain computer interface,Pattern recognition thatoffersthe greatest potential in the era.
Under this UGC Integrated Funded Project we have developed A KVK-R Multimodal Biometric Database. With mandate to issue the publically available to every were in the web. A KVK-R Multimodal database purpose that to create a platform for biometric research community for developing acquisition and collecting the multimodal [more than 10 traits] dataset for human authentication and validation. The key requirement of KVK-R dataset is in order to improve the efficiency and database delivery services.
The various multimodal database community have frame their database methodology i.e. government of India UID, NIST, ANCI-ISO, BANCA,BIOSEC, BIOSECUR- ID, BANCA, BIOMET, MCYT, MYIDEA, XM2VTS community to establish their various standards in application of biometric area. KVK-R database committee have design our own unimodal and multimodal database design tools and algorithm by using traditional several methods. Also we have noticeable equipment facilities for Development of Multimodal Biometric Large Scale Database for human Authentication and Identification.
Research Areas of Interests:
Advanced Image Processing, Multimodal Biometric, Biomedical Image Processing, Bioinformatics, Pattern Recognition, Machine Learning, Deep Learning, Artificial Intelligence, Big Data Analytic, Sensor Networks etc.
Research Objectives of MMBRL Lab:
- Development of large scale Unimodal and multimodal biometric database using Face, Ear, Fingerprint, Iris, Palm, Nail, Knuckle, Hand geometry, Online Signature, offline Signature, Retina, EEG, 3D face, 3D Ear, HRV, as per international Standard.
- Design and Develop acquisition tool for Unimodal as well as multimodal biometric system for Human Authentication and Identification.
- Development of Advanced algorithms and schema for Unimodal and Multimodal Biometric system development.
- Large amount of database creation and standardization.
Applications Taken:
- Unimodal and Multimodal Biometric System based on Finger print, Palmprint, Iris, Signature, Hand Geometry, Voice, 2D face, 2D Ear, 3D face and 3D Ear, EEG, HRV for Authentication, Identification and recognition.
- Deep Learning Architecture for classification, Recognition and Object Detection from Multimodal Database.
- Forensics Biometric