A Hilbert warping method for handwriting gesture recognition

Authors:
Hiroyuki Ishida;Tomokazu Takahashi;Ichiro Ide;Hiroshi Murase
Affiliations:
Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan;Department of Economics and Information, Gifu Shotoku Gakuen University, Nakauzura 1-38, Gifu-shi, Gifu 501-6194, Japan;Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan;Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan
Venue:
Pattern Recognition
Year:
2010

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Abstract

We propose a novel sequence alignment algorithm for recognizing handwriting gestures by a camera. In the proposed method, an input image sequence is aligned to the reference sequences by phase-synchronization of analytic signals which are transformed from original feature values. A cumulative distance is calculated simultaneously with the alignment process, and then used for the classification. A major benefit of this method is that over-fitting to sequences of incorrect categories is restricted. The proposed method exhibited higher recognition accuracy in handwriting gesture recognition, compared with the conventional dynamic time warping method which explores optimal alignment results for all categories.