NDLI: An effective robust fingertip detection method for finger writing character recognition system

Content Provider	IEEE Xplore Digital Library
Author	Duan-Duan Yang Lian-Wen Jin Jun-Xun Yin
Copyright Year	2005
Description	Author affiliation: Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China (Duan-Duan Yang; Lian-Wen Jin; Jun-Xun Yin)
Abstract	This paper proposes an effective and robust fingertip detection method in 2D plane and applies it to a novel vision based human computer interaction system: finger writing character recognition system (FWCRS). The fingertip detection approach consists of two stages. First, based on the grid sampling and the analysis of sampled hand contour, the fingertip was detected roughly. Then, the location of fingertip was localized precisely based on circle feature matching. Experiments suggest that the proposed fingertip detection method is capable of detecting fingertip in a reliable manner even in a complex background under different light conditions without any markers. To demonstrate the strength of the method, the method was run on 5 sequences with varying light condition, different degrees of clutter background and different speeds of finger movement, experiment shows that the correct rate can reach 98.5%. The finger writing character recognition system in this paper is particularly advantageous for human-computer interaction (HCI) in that users can communicate with computers by their favorite mean: handwriting. At the same time, they can perform handwriting with only their finger directly.
Sponsorship	IEEE Syst., Man and Cybernetics Tech. Comm. on Cybernetics, Hong Kong Polytechnic Univ. Hebei Univ. South China Univ. Chongqing Univ. Sun Yat-sen Univ. Harbin Inst. of Technol. and Int. Univ. in Germany
Starting Page	4991
Ending Page	4996
File Size	796549
Page Count	6
File Format	PDF
ISBN	0780390911
DOI	10.1109/ICMLC.2005.1527822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Fingers Writing Character recognition Image segmentation Human computer interaction Artificial intelligence Cameras Sampling methods Intelligent systems circle features Fingertip detection background template matching
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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