Image recognition is a research area has been widely studied by the scientific communities. Research in this domain is mainly aimed at categorizing images from different sources and different applications of computer vision systems. From the many methods developed for extracting local and global features, an automatic selection of the most relevant is necessary in the learning or the recognition stages. The objective of this special issue is to review recent work in this area, focusing on new developments, whether theoretical, methodological and applications.