Title
Image pattern recognition in big data: taxonomy and open challenges: survey.
Abstract
Image pattern recognition in the field of big data has gained increasing importance and attention from researchers and practitioners in many domains of science and technology. This paper focuses on the usage of image pattern recognition for big data applications. In this context, the taxonomy of image pattern recognition and big data is revealed. The applications of image pattern recognition for big data, including multimedia, biometrics, and biology/biomedical, are also highlighted. Moreover, the significance of using pattern-based feature reduction in big data is discussed, and machine-learning techniques in pattern recognition applications are presented. A comparison based on the objectives of the approaches is presented to underline the taxonomy. This paper provides a novel review in exploring image recognition approaches for big data, which can be used in future research.
Year
DOI
Venue
2018
10.1007/s11042-017-5045-7
Multimedia Tools Appl.
Keywords
Field
DocType
Pattern Recognition, Big Data, Feature Extraction, Dimensionality Reduction
Data science,Dimensionality reduction,Pattern recognition,Information retrieval,Computer science,Feature extraction,Artificial intelligence,Biometrics,Big data
Journal
Volume
Issue
ISSN
77
8
1380-7501
Citations 
PageRank 
References 
4
0.41
60
Authors
8