Analysis of pixel level features in recognition of real life dual-handed sign language data set

Abstract

This paper demonstrates the evaluation of various pixel level features for the dual handed sign language data set. Data sets are collected from the real life scenario. We compare the feature extraction methods like Histogram of Orientation Gradient (HOG), Histogram of Boundary Description (HBD) and the Histogram of Edge Frequency (HOEF). The accuracy of HOG… (More)
DOI: 10.1109/ReTIS.2011.6146876

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