Matching Sketches with Digital Face Images using MCWLD and Image Moment Invariant
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract : Face recognition is an important problem in many application domains. Matching sketches with digital face image is important in solving crimes and capturing criminals. It is a computer application for automatically identifying a person from a still image. Law enforcement agencies are progressively using composite sketches and forensic sketches for catching the criminals. This paper presents two algorithms that efficiently retrieve the matched results. First method uses multiscale circular Weber’s local descriptor to encode more discriminative local micro patterns from local regions. Second method uses image moments, it extracts discriminative shape, orientation, and texture features from local regions of a face. The discriminating information from both sketch and digital image is compared using appropriate distance measure. The contributions of this research paper are: i) Comparison of multiscale circular Weber’s local descriptor with image moment for matching sketch to digital image, ii) Analysis of these algorithms on viewed face sketch,forensic face sketch and composite face sketch databases.
Authors and Affiliations
Reshma C Mohan , M. Jayamohan , Arya Raj S
Keywords
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