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Browsing Electronics by Author "Vetrekar, N."

Browsing Electronics by Author "Vetrekar, N."

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  • Band level fusion using quaternion representation for extended multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (20. Int. Conf. on Information Fusion (Fusion), China. 10-13 Jul 2017. IEEE.. 2017; 6pp.)
    With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a ...
  • Collaborative representation of Grassmann manifold projection metric for robust multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 8pp.)
    Spectral face recognition is gaining importance as the information from different bands can lead to robust face representation that are presentation (a.k.a, spoofing) attack resistant. However, the key challenge here is ...
  • Comparative studies for multivariate model of human blood tissue using gaussian and lorentz oscillators and analysis using PLS regression 
    Parab, J.S.; Gad, R.S.; Naik, G.M.; Vetrekar, N. (International Journal of Electrical and Electronics Engineering Research (IJEEER). 3(2); 2013; 1-8.)
    The paper presents the modeling of the Multivariate model of the Human blood tissue using Gaussian and Lorentz Oscillators. The authors have demonstrated the spectroscopic modeling of the tissue in the region of near ...
  • Design of quad quaptor Aditya for surveillance applications 
    Gad, R.S.; Vetrekar, N.; Parab, J.S.; Naik, G.M. (Int. Conf. Electronic Warfare, 27 Feb 2014. IISc, Bangalore. 2014; 585-591.)
  • Detecting disguise attacks on multi-spectral face recognition through spectral signatures 
    Raghavendra, R.; Vetrekar, N.; Raja, K.B.; Gad, R.S.; Busch, C. (24. Int. Conf. on Pattern Recognition, Beijing, China, 20-24 Aug 2018; 2018.)
    Presentation attacks on Face Recognition System (FRS) have incrementally posed challenges to create new detection methods. Among the various presentation attacks, disguise attacks allow concealing the identity of the ...
  • Exploring convolutional neural network for multi-spectral face recognition 
    Prabhu, A.K.; Vetrekar, N.; Gad, R.S. (Proc. 8. Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI 2019), Ed. by: Deka B., Maji P., Mitra S., Bhattacharyya D., Bora P., Pal S.; 2019; 606-613.)
    Multi-spectral face recognition has procured noteworthy consideration over a most recent times because of its potential capacity to acquire spatial and spectral information over the electromagnetic range, which cannot be ...
  • Extended multi-spectral imaging for gender classification based on image set 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 6pp.)
    Gender prediction based on facial features has received significant attention in computer vision and biometric community. Most of the gender classification studies mainly focused there attention on approaches that operate ...
  • Multi-spectral imaging for artificial ripened banana detection 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S. (8 European Workshop on Visual Information Processing (EUVIP). 2019; 187-192.)
    Ripening is a natural process that makes fruits edible and nutritious. With increasing demand, the practice to employ artificial ripening of fruits have been increased recently in the market chain to fulfill the needs of ...
  • Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (Int. Conf. on Identity, Security and Behavior Analysis (ISBA), Jan 2018, Singapore. 2018; 8pp.)
    Gender classification based on the facial characteristic, has been widely studied in the literature across visible and near infrared spectrum. In this paper, we explore the applicability of extended multi-spectral imaging ...
  • Robust gender classification using multi-spectral imaging 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (Int. Conf. on Signal Image Technology & Internet Based Systems (SITIS), Jaipur. 2017; 8pp.)
    Multi-Spectral imaging is gaining importance in recent times due to it's ability to capture spatio-spectral data across the electromagnetic spectrum. In this paper, we present a robust gender classification approach by ...
  • Robust multi-spectral imaging for ocular biometric 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (11. IAPR Int. Conf. on Biometrics (ICB 2018), Australia. 2018; 7pp.)
    Recent development of sensors has allowed the biometric community to explore the possibility of authentication beyond visible spectrum. More importantly, multi-spectral imaging in biometric has shown great potential to ...

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