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Khurana et al., 2014 - Google Patents

Static hand gestures recognition system using shape based features

Khurana et al., 2014

Document ID
10962175390233964924
Author
Khurana G
Joshi G
Kaur J
Publication year
Publication venue
2014 Recent Advances in Engineering and Computational Sciences (RAECS)

External Links

Snippet

In this paper, an easy and a simple approach using shape based features to recognize alphabets of Indian Sign Language (ISL) has been proposed. Geometrical features and Zernike Moments (ZM) of hand shapes are extracted. Covariance and minimum Euclidean …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6256—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging, boosting
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