Zobrazeno 1 - 10
of 57
pro vyhledávání: '"L. Sumalatha"'
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101018- (2024)
Detection of text and its localisation from natural scenic imagery plays a vital role in in Content Based Imagery Analysis. The major and unavoidable challenges are illumination effects, different orientations in the lines, typical backgrounds, diffe
Externí odkaz:
https://doaj.org/article/35895e7e43a74a12929bb5b5aeee21cd
Publikováno v:
2023 International Conference on Artificial Intelligence and Smart Communication (AISC).
Publikováno v:
Evolutionary Intelligence. 14:1117-1133
Storing and accessing the information in the multi-cloud hosting environment becomes popular these days. It offers benefits like the assurance of data protection, preventing information corruption, unethical issues from vendors. In this paper, a hybr
Publikováno v:
Recent Advances in Computer Science and Communications. 13:965-976
Background: Age estimation using face images has become increasingly significant in the recent years, due to diversity of potentially useful applications. Age group feature extraction, the local features, has received a great deal of attention. Objec
Publikováno v:
Indian Journal of Science and Technology. 13:2755-2773
Objectives: The main goal of this study is to derive an efficient feature vector to capture both the color and texture information. This makes the proposed descriptor as a multipurpose descriptor. Methodology: This study derived color information by
Publikováno v:
Automated Software Engineering. 29
Autor:
K Devi Priya, L. Sumalatha
Publikováno v:
2021 2nd International Conference on Intelligent Engineering and Management (ICIEM).
E-Education is an important aspect that facilitates the online and virtual education. The advancements in the education institutes are increasing tremendously which requires high-end servers, software’s, and applications that leads to the huge inve
Publikováno v:
Machine Learning Technologies and Applications ISBN: 9789813340459
Recognition of text from complex background images is a challenging task due to the large variations in background, texture, font, and illumination conditions. Text can be detected easily from those images containing less background complexity. There
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20a71d960d552570c2cb8f959bb3a326
https://doi.org/10.1007/978-981-33-4046-6_29
https://doi.org/10.1007/978-981-33-4046-6_29
This book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision,
Publikováno v:
International Journal of Image, Graphics and Signal Processing. 10:68-78