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Uyghur Off-Line Signature Recognition Based on Local Central Line Features.

, , , , and . CCBR, volume 10568 of Lecture Notes in Computer Science, page 750-758. Springer, (2017)

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Other publications of authors with the same name

HMM-Based Off-Line Uyghur Signature Recognition., , , , and . CCBR, volume 10996 of Lecture Notes in Computer Science, page 736-744. Springer, (2018)Channel Enhanced Temporal-Shift Module for Efficient Lipreading., , , , and . CCBR, volume 12878 of Lecture Notes in Computer Science, page 474-482. Springer, (2021)A Survey of Research on Lipreading Technology., , , , and . IEEE Access, (2020)Learning the Relative Dynamic Features for Word-Level Lipreading., , , , and . Sensors, 22 (10): 3732 (2022)Uyghur Off-Line Signature Recognition Based on Local Central Line Features., , , , and . CCBR, volume 10568 of Lecture Notes in Computer Science, page 750-758. Springer, (2017)How to Use Time Information Effectively? Combining with Time Shift Module for Lipreading., , , , and . ICASSP, page 7988-7992. IEEE, (2021)A Survey of Multi-Ethnic Face Feature Recognition., , , , and . ICCPR, page 168-173. ACM, (2020)