no code implementations • 19 Aug 2023 • Anuj Rai, Parsheel Kumar Tiwari, Jyotishna Baishya, Ram Prakash Sharma, Somnath Dey
The proposed model outperforms state-of-the-art methods in benchmark protocols of presentation attack detection in terms of classification accuracy.
no code implementations • 17 Aug 2023 • Manas Kagde, Priyanka Choudhary, Rishi Joshi, Somnath Dey
The overall mAP@0. 5 of 96. 75% has been achieved on the GTSRB dataset.
no code implementations • 6 Jun 2023 • Anuj Rai, Ashutosh Anshul, Ashwini Jha, Prayag Jain, Ramprakash Sharma, Somnath Dey
An overall accuracy of 96. 20\%, 94. 97\%, and 92. 90\% has been achieved on the LivDet 2015, 2017, and 2019 databases, respectively under the LivDet protocol scenarios.
no code implementations • 16 May 2023 • Anuj Rai, Somnath Dey
This paper proposes a novel explainable residual slim network that detects the presentation attack by representing the visual features in the input fingerprint sample.
no code implementations • 2 Mar 2023 • Anuj Rai, Somnath Dey, Pradeep Patidar, Prakhar Rai
The proposed model incorporates MobileNet as a feature extractor and a Support Vector Classifier as a classifier to detect presentation attacks in cross-material and cross-sensor paradigms.
no code implementations • 8 Nov 2019 • Mahesh Joshi, Bodhisatwa Mazumdar, Somnath Dey
Partial fingerprint recognition is a method to recognize an individual when the sensor size has a small form factor in accepting a full fingerprint.
no code implementations • 8 Jun 2018 • Ram Prakash Sharma, Somnath Dey
The proposed system extracts 8 sensor independent quality features on a local level containing minute details of the ridge-valley structure of real and fake fingerprints.
no code implementations • 28 May 2018 • Rudresh Dwivedi, Somnath Dey
Cancelable biometric constructs a protected template from the original biometric template using transformation functions and performs the comparison between templates in the transformed domain.
no code implementations • 26 May 2018 • Rudresh Dwivedi, Somnath Dey
This paper presents a method to integrate cancelable modalities utilizing mean-closure weighting (MCW) score level and Dempster-Shafer (DS) theory based decision level fusion for iris and fingerprint to mitigate the limitations in the individual score or decision fusion mechanisms.
no code implementations • 25 May 2018 • Rudresh Dwivedi, Somnath Dey
To revoke and reissue a new template in place of the compromised biometric template, the idea of cancelable biometrics has been introduced.
1 code implementation • 22 May 2018 • Rudresh Dwivedi, Somnath Dey, Mukul Anand Sharma, Apurv Goel
In this work, a framework for secure communication between two users using fingerprint based crypto-biometric system has been proposed.
Cryptography and Security
no code implementations • 19 May 2018 • Ram Prakash Sharma, Somnath Dey
Performance improvement of recognition algorithm will be more if enhancement process is adaptive to the fingerprint quality (wet, dry or normal).