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SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification.

, , , , and . CoRR, (2019)

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SynSig2Vec: Forgery-Free Learning of Dynamic Signature Representations by Sigma Lognormal-Based Synthesis and 1D CNN., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (10): 6472-6485 (2022)SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-World Verification., , , , and . AAAI, page 735-742. AAAI Press, (2020)ICDAR 2021 Competition on On-Line Signature Verification., , , , , , , , , and 21 other author(s). ICDAR (4), volume 12824 of Lecture Notes in Computer Science, page 723-737. Springer, (2021)Encoding Pathlet and SIFT Features With Bagged VLAD for Historical Writer Identification., , and . IEEE Trans. Inf. Forensics Secur., (2020)SVC-onGoing: Signature Verification Competition., , , , , , , , , and 22 other author(s). CoRR, (2021)Forgery-free signature verification with stroke-aware cycle-consistent generative adversarial network., , , , , and . Neurocomputing, (2022)SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification., , , , and . CoRR, (2019)Improving Attention-Based Handwritten Mathematical Expression Recognition with Scale Augmentation and Drop Attention., , , and . ICFHR, page 175-180. IEEE, (2020)SVC-onGoing: Signature verification competition., , , , , , , , , and 22 other author(s). Pattern Recognit., (2022)Point-to-Set Similarity Based Deep Metric Learning for Offline Signature Verification., , , and . ICFHR, page 282-287. IEEE, (2020)