NDLI: Sparse coding based lip texture representation for visual speaker identification

Content Provider	IEEE Xplore Digital Library
Author	Jun-Yao Lai Shi-Lin Wang Xing-Jian Shi Liew, A.W.-C.
Copyright Year	2014
Description	Author affiliation: Sch. of EIEE, Shanghai Jiao Tong Univ., Shanghai, China (Jun-Yao Lai; Shi-Lin Wang; Xing-Jian Shi) \|\| Sch. of Inf. & Comm. Technol., Griffith Univ., Brisbane, QLD, Australia (Liew, A.W.-C.)
Abstract	Recent research has shown that the speaker's lip shape and movement contain rich identity-related information and can be adopted for speaker identification and authentication. Among all the static lip features, the lip texture (intensity variation inside the outer lip contour) is of high discriminative power to differentiate various speakers. However, the existing lip texture feature representations cannot describe the texture information adequately and provide unsatisfactory identification results. In this paper, a sparse representation of the lip texture is proposed and a corresponding visual speaker identification scheme is presented. In the training stage, a sparse dictionary is built based on the texture samples for each speaker. In the testing stage, for any lip image investigated, the lip texture information is extracted and the reconstruction errors using all the dictionaries for every speaker are calculated. The lip image is identified to the speaker with the minimum reconstruction error. The experimental results show that the proposed sparse coding based scheme can achieve much better identification accuracy (91.37% for isolate image and 98.21% for image sequence) compared with several state-of-the-art methods when considering the lip texture information only.
Starting Page	607
Ending Page	610
File Size	414874
Page Count	4
File Format	PDF
ISBN	9781479946129
ISSN	21653577
DOI	10.1109/ICDSP.2014.6900736
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Dictionaries Image reconstruction Encoding Accuracy Shape Visualization Digital signal processing lip biometrics Lip texture visual speaker identificaiton sparse coding
Content Type	Text
Resource Type	Article

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