Open AccessA Study on Various Image Feature Extraction Techniques
Author(s) -
M. T. George,
L. C. Manikandan
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1195528
Subject(s) - feature extraction , feature (linguistics) , artificial intelligence , pattern recognition (psychology) , computer science , feature detection (computer vision) , image (mathematics) , image processing , computer vision , character (mathematics) , mathematics , philosophy , linguistics , geometry
Feature Extraction is the technique of extracting quantitative information from a image. Feature plays a very important role in the area of image processing. The purpose of feature extraction technique in image processing is to represent the image in its compact and unique form of single values or matrix vector. Feature extraction techniques are helpful in various image processing applications e.g. character recognition. As features define the behavior of an image, they show its place in terms of storage taken, efficiency in classification and obviously in time consumption also. The aim of this paper is to give the overview of image feature extraction techniques for young learners and researchers.