A Survey on Local Textural Patterns for Facial Feature Extraction

Over the last two decades retrieving an accurate image has become a challenging task. Regardless, texture patterns address this problem by decreasing the significant gap between the actual image over the user expectation rather than other low-level features. This article represents the comprehensive survey of the recent achievements and relevant publications investigated in different directions of the textural areas in CBIR. These consist of triggered methods for image local texture feature extraction, numerical illustration and similarity measurement. In addition, challenges are discussed in comparisons of textural patterns. Retrospectively, concluded with a few recommendations based on generic survey and demand from the