Open AccessTECHNIQUES OF FEATURE EXTRACTION USING LOCAL AND GLOBAL FEATURES: A SURVEY
Author(s) -
B.Soundarya S. Ramadevi*
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.345693
Subject(s) - feature extraction , feature (linguistics) , pattern recognition (psychology) , extraction (chemistry) , computer science , artificial intelligence , chromatography , chemistry , linguistics , philosophy
An image hash is a short code that holds the content of the image. Image authentication using hash code is most commonly used technique. This image hash can be generated using many techniques. The major drawback of image hash is the possibility to have the same hash code for two different images. However, this vulnerability can be greatly reduced by generating hash code that uses both local and global features. In this paper, a survey on some feature extraction technique using local and global features is given. The advantages and disadvantages of each and every system along with future work is also given