nanoll extt
Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/481
Title: Real-time intelligent image processing for security applications
Authors: Singh, Akansha
Issue Date: Sep-2021
Citation: Singh, A., Li, P., Singh, K. K., & Saravana, V. (2021). Real-time intelligent image processing for security applications. In Journal of Real-Time Image Processing (Vol. 18, Issue 5, pp. 1787–1788). Springer Science and Business Media LLC.
Series/Report no.: Vol. 18;Issue 5
Abstract: The advent of machine learning techniques and image processing techniques has led to new research opportunities in this area. Machine learning has enabled automatic extraction and analysis of information from images. The convergence of machine learning with image processing is useful in a variety of security applications. Image processing plays a significant role in physical as well as digital security. Physical security applications include homeland security, surveillance applications, identity authentication, and so on. Digital security implies protecting digital data. Techniques like digital watermarking, network security, and steganography enable digital security.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/481
ISSN: 1728172
Appears in Collections:Journal Articles_SCSET

Files in This Item:
File Description SizeFormat 
Real_time_intelligent_image_processing_for_security_applications.pdf
  Restricted Access
305.74 kBAdobe PDFView/Open Request a copy

Contact admin for Full-Text

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.