Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Kiran B. Raja"'
Compact and Mobile Full-Field Optical Coherence Tomography Sensor for Subsurface Fingerprint Imaging
Autor:
Egidijus Auksorius, Kiran B. Raja, Berkay Topcu, Raghavendra Ramachandra, Christoph Busch, Claude A. Boccara
Publikováno v:
IEEE Access, Vol 8, Pp 15194-15204 (2020)
Conventional fingerprint sensors that are deployed in real-life applications lack the ability to peer inside a finger beyond the external surface. Subsurface information can provide complimentary biometric characteristics associated with the finger.
Externí odkaz:
https://doaj.org/article/1459460009aa4ec8ac145786dd960a80
Autor:
Monika Garg, Deepak Khandelwal, Vivek Aggarwal, Kiran B Raja, Sanjay Kalra, Bhoopendra Agarwal, Deep Dutta
Publikováno v:
Indian Journal of Endocrinology and Metabolism, Vol 22, Iss 5, Pp 589-596 (2018)
Introduction: Data on ultrasound elastography (USE) are scant from India. This study aimed to compare the sensitivity and specificity of USE with thyroid ultrasonography (USG) and fine-needle aspiration (FNA) as preoperative predictor of malignancy,
Externí odkaz:
https://doaj.org/article/5a1a8d3ff08d4cd1852dc2b3603e6c28
Autor:
Fernando Alonso-Fernandez, Kiran B. Raja, R. Raghavendra, Christoph Busch, Josef Bigun, Ruben Vera-Rodriguez, Julian Fierrez
Publikováno v:
Information Fusion
The massive availability of cameras results in a wide variability of imaging conditions, producing large intra-class variations and a significant performance drop if heterogeneous images are compared for person recognition. However, as biometrics is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4c100b728adf6e350910e3180e0c631
https://doi.org/10.1016/j.inffus.2022.03.008
https://doi.org/10.1016/j.inffus.2022.03.008
Autor:
Raymond N.J. Veldhuis, Els Kindt, Christian Rathgeb, Kiran B. Raja, Georg Hasse, Adam Czajka, Raghavendra Ramachandra, Jean Salomon, Alexander Nouak, Christoph Busch, Jascha Kolberg, Pawel Drozdowski, Olaf Henniger, Farzin Deravi, Marta Gomez-Barrero
Publikováno v:
IET biometrics, 11(1), 79-86. The Institution of Engineering and Technology
IET Biometrics
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
IET Biometrics
IET Biometrics, Vol 11, Iss 1, Pp 79-86 (2022)
The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)‐Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification and Authenticati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2861e5cf84c20c32786d25ea61e0644b
https://doi.org/10.1049/bme2.12057
https://doi.org/10.1049/bme2.12057
Publikováno v:
IEEE Transactions on Technology and Society. 2:128-145
Face recognition has been successfully deployed in real-time applications, including secure applications such as border control. The vulnerability of face recognition systems (FRSs) to various kinds of attacks (both direct and indirect attacks) and f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ac70b7d4909357c79626e10349c58a3
https://doi.org/10.1109/tts.2021.3066254
https://doi.org/10.1109/tts.2021.3066254
Publikováno v:
The Visual Computer. 38:3643-3665
The use of deep convolutional neural networks (CNNs) for single image super-resolution (SISR) in the recent years has led to numerous vision-based applications. Complementing the growing interest in the computer vision community embracing such networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfd72aadf1ca3af448110df4ab691398
https://doi.org/10.1007/s00371-021-02193-4
https://doi.org/10.1007/s00371-021-02193-4
Publikováno v:
IET Biometrics
IET Biometrics, Vol 11, Iss 1, Pp 51-62 (2022)
IET Biometrics, Vol 11, Iss 1, Pp 51-62 (2022)
The growth of biometrics‐based authentication in various services raises the need to protect biometric data at the storage level. Specifically, biometric templates need to be protected after features are extracted to avoid the leakage of biometric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca4199853c2e676e290aa6a2c52e54ea
https://doi.org/10.1049/bme2.12043
https://doi.org/10.1049/bme2.12043
Autor:
Narayan Vetrekar, Anish K. Prabhu, Aparajita Naik, Raghavendra Ramachandra, Kiran B. Raja, Adavi R. Desai, Rajendra S. Gad
Publikováno v:
Journal of Food Processing and Preservation. 46
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3248752ee364f41245d655b5b13cac1a
https://doi.org/10.1111/jfpp.16882
https://doi.org/10.1111/jfpp.16882
Autor:
Raghavendra Ramachandra, Kiran B. Raja, Kartik Nighania, Christoph Busch, Vishal Chudasama, Kishor P. Upla
Publikováno v:
IEEE Transactions on Biometrics, Behavior, and Identity Science. 3:166-179
Practical systems such as in surveillance applications capture Low-Resolution (LR) face images due to the wider angle of imaging or longer stand-off distance to the camera. However, face recognition applications demand high resolution face images for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ad391412e59249ef0ee96e8b9482207
https://doi.org/10.1109/tbiom.2021.3059196
https://doi.org/10.1109/tbiom.2021.3059196
Autor:
Christoph Busch, Raghavendra Ramachandra, Kiran B. Raja, Vishal Chudasama, Kalpesh Prajapati, Kishor P. Upla, Heena Patel
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
The deep learning models for the Single Image Super-Resolution (SISR) task have found success in recent years. However, one of the prime limitations of existing deep learning-based SISR approaches is that they need supervised training. Specifically,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1358700ff56c555dfa44fd75294ee82d
https://pubmed.ncbi.nlm.nih.gov/34559651
https://pubmed.ncbi.nlm.nih.gov/34559651