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Alphabet Recognition of American Sign Language : A Hand Gesture Recognition Approach Using Sift Algorithm

This paper is a sincere attempt to recognize english alphabets as part of hand gesture recognition, using the SIFT algorithm. The novelty of this approach is, it is a space, size, illumination and rotation invariant approach. The approach has evolved to work well with both the standard American Sign Language (ASL) database and home-made database. The problem of alphabet recognition may seem to sound small but the intricacies involved in it cannot be solved using a single algorithm. Hand gesture recognition is a complicated task. A one stop solution is still not evolved for any recognition process. This paper has tried to approach this in a simple but efficient manner using the basic SIFT algorithm for recognition. The efficacy of the approach is proved well through the results obtained, invariably on both the datasets.