Signature barcodes for online verification
作者：
Highlights：
• We propose the signature barcoding framework for the first time in literature.
• The barcode images carry information on the frequency component of the signature.
• Frequency vs. time localization is computed by CWT employing compatible wavelets.
• We tested the framework with 400 signatures from our dataset and SVC2004 samples.
• We managed to achieve 2.25% FAR, 2.75% FRR and 2.81% EER as the lowest rates.
摘要
•We propose the signature barcoding framework for the first time in literature.•The barcode images carry information on the frequency component of the signature.•Frequency vs. time localization is computed by CWT employing compatible wavelets.•We tested the framework with 400 signatures from our dataset and SVC2004 samples.•We managed to achieve 2.25% FAR, 2.75% FRR and 2.81% EER as the lowest rates.
论文关键词：Barcode,Biometrics,Online signature verification,Scalogram,Frequency,SVM
论文评审过程：Received 15 April 2020, Revised 4 November 2021, Accepted 8 November 2021, Available online 12 November 2021, Version of Record 28 February 2022.
论文官网地址：https://doi.org/10.1016/j.patcog.2021.108426
