Sign Language is the language of gestures used by mute people for non-verbal communication. This paper is about a novel approach for the recognition of number signs of Pakistan Sign Language. An image sign is captured from running video when signer nods head. Deep pixels-based analysis of the scanned image is pursued for the recognition of fingers (from index to small finger) while thumb's position is find out through Template Matching. After fingers identification, Dynamic signs are recognized based on fingers' state of being raised or down. For quick detection, signs are categorized into four groups which the algorithm identifies following a model of seven phases.
['Mohammad Raees', 'Sehat Ullah']
Continuous Number Signs Recognition