Biometric cryptosystem based on discretized fingerprint texture descriptors
Expert Systems with Applications: An International Journal
Emotion-aware assistive system for humanistic care based on the orange computing concept
Applied Computational Intelligence and Soft Computing - Special issue on Awareness Science and Engineering
Face recognition with enhanced local directional patterns
Neurocomputing
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This paper presents a novel local feature descriptor, theLocal Directional Pattern (LDP), for describing localimage feature. A LDP feature is obtained by computing theedge response values in all eight directions at each pixelposition and generating a code from the relative strengthmagnitude. Each bit of code sequence is determined byconsidering a local neighborhood hence becomes robust innoisy situation. A rotation invariant LDP code is alsointroduced which uses the direction of the most prominentedge response. Finally an image descriptor is formed todescribe the image (or image region) by accumulating theoccurrence of LDP feature over the whole input image (orimage region). Experimental results on the Brodatz texturedatabase show that LDP impressively outperforms theother commonly used dense descriptors (e.g.,Gabor-wavelet and LBP).