Alam, Md. Jahangir, Nasierding, Gulisong, Sajjanhar, Atul and Chowdhury, Morshed 2014, Fingertips detection for human interaction system, in ICGIP 2013 : Proceedings of the 5th International Conference on Graphic and Image Processing, SPIE, [Hong Kong], pp. 1-5, doi: 10.1117/12.2054189.
Fingertips of human hand play an important role in hand-based interaction with computers. Identification of fingertips' positions in hand images is vital for developing a human computer interaction system. This paper proposes a novel method for detecting fingertips of a hand image analyzing the concept of the geometrical structural information of fingers. The research is divided into three parts: First, hand image is segmented for detecting hand, Second, invariant features (curvature zero-crossing points) are extracted from the boundary of the hand, Third, fingertips are detected. Experimental results show that the proposed approach is promising.
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