Zobrazeno 1 - 10
of 23
pro vyhledávání: '"V. S. Malemath"'
Publikováno v:
Frontiers in Robotics and AI, Vol 8 (2021)
Instinctive detection of infections by carefully inspecting the signs on the plant leaves is an easier and economic way to diagnose different plant leaf diseases. This defines a way in which symptoms of diseased plants are detected utilizing the conc
Externí odkaz:
https://doaj.org/article/96cc8f180383472689167639d6a64dcd
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Automatic Latent Fingerprint Identification Systems (AFIS) are most widely used by forensic experts in law enforcement and criminal investigations. One of the critical steps used in automatic latent fingerprint matching is to automatically extract re
Externí odkaz:
https://doaj.org/article/b7257700cacb45f1a3c7ab10a5a5b113
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Automatic fingerprint identification systems (AFIS) make use of global fingerprint information like ridge flow, ridge frequency, and delta or core points for fingerprint alignment, before performing matching. In latent fingerprints, the ridges will b
Externí odkaz:
https://doaj.org/article/6139ee6048324c03ab9aa7eba4c52ef4
Autor:
Uttam U Deshpande, V. S. Malemath
Publikováno v:
Journal of Computer Science Research. 4:38-50
Latent fingerprints are the unintentional impressions found at the crime scenes and are considered crucial evidence in criminal identification. Law enforcement and forensic agencies have been using latent fingerprints as testimony in courts. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::893ab5a897eca4f944603105dfadab67
https://doi.org/10.30564/jcsr.v4i1.4388
https://doi.org/10.30564/jcsr.v4i1.4388
Autor:
V. S. Malemath, Sushma V. Chaugule
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031235986
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cb89d58b8bd58ce4a881c450ecd551a
https://doi.org/10.1007/978-3-031-23599-3_12
https://doi.org/10.1007/978-3-031-23599-3_12
Autor:
V. S. Malemath, Sushma V. Chaugule
Publikováno v:
SN Computer Science. 4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7b0ccb4852f26c898ae2d6da93de566
https://doi.org/10.1007/s42979-022-01468-4
https://doi.org/10.1007/s42979-022-01468-4
Publikováno v:
Journal of Computer Science Research. 3:8-15
The prime reason for proposing the work is designing and developing a low-cost guided wireless Unmanned Ground Vehicle (UGV) for use in hospitals for assistance in contactless drug delivery in COVID-19 wards. The Robot is designed as per the requirem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::849bc6815781fe02e6df27d10b5c4be3
https://doi.org/10.30564/jcsr.v3i3.3489
https://doi.org/10.30564/jcsr.v3i3.3489
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2a667735828f6454d6abc4361aa5b01
https://doi.org/10.1007/978-981-19-1607-6_11
https://doi.org/10.1007/978-981-19-1607-6_11
Publikováno v:
Journal of Real-Time Image Processing. 18:2165-2180
High-Efficiency Video Coding (HEVC) is the standard employed for the subsequent compressing of the video without degrading the quality of the image. HEVC renders effective performance compared to the existing compression standards as the encoding tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6824fe81817716215e79888729dd7677
https://doi.org/10.1007/s11554-021-01096-w
https://doi.org/10.1007/s11554-021-01096-w
Publikováno v:
International Journal of Information Technology. 14:1025-1039
In this paper, we propose a new clustered minutiae-based scale and rotation invariant fingerprint matching method. The major challenge faced in the existing latent fingerprint identification system is the lack of minutiae features in the fingerprint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bcbf8993dc601e51f9178d4b0527032
https://doi.org/10.1007/s41870-020-00508-7
https://doi.org/10.1007/s41870-020-00508-7