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Script Identification of Central Asia Based on Fused Texture Features.

, , , , and . ICPR, page 3675-3680. IEEE Computer Society, (2018)

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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)Effects on Accuracy of Uyghur Handwritten Signature Recognition., , and . CCPR, volume 321 of Communications in Computer and Information Science, page 548-555. Springer, (2012)Script Identification Based on HSV Features., , , , and . CCPR (2), volume 663 of Communications in Computer and Information Science, page 588-597. (2016)Uyghur Off-line Signature Recognition Based on Modified Corner Curve Features., , , , and . CCBR, volume 9967 of Lecture Notes in Computer Science, page 417-423. (2016)Advances in Offline Handwritten Signature Recognition Research: A Review., , , , and . IEEE Access, (2023)A survey: object detection methods from CNN to transformer., , , , and . Multim. Tools Appl., 82 (14): 21353-21383 (2023)Channel Enhanced Temporal-Shift Module for Efficient Lipreading., , , , and . CCBR, volume 12878 of Lecture Notes in Computer Science, page 474-482. Springer, (2021)Script Identification Based on Nonsubsampled Contourlet Transform., , , , and . ICDAR, page 697-702. IEEE, (2017)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)