Timezone: »
Although online handwriting verification has made great progress recently, the verification performances are still far behind the real usage owing to the small scale of the datasets as well as the limited biometric mediums. Therefore, this paper proposes a new handwriting verification benchmark dataset named Multimodal Signature and Digit String (MSDS), which consists of two subsets: MSDS-ChS (Chinese Signatures) and MSDS-TDS (Token Digit Strings), contributed by 402 users, with 20 genuine samples and 20 skilled forgeries per user per subset. MSDS-ChS consists of handwritten Chinese signatures, which, to the best of our knowledge, is the largest publicly available Chinese signature dataset for handwriting verification, at least eight times larger than existing online datasets. Meanwhile, MSDS-TDS consists of handwritten Token Digit Strings, i.e, the actual phone numbers of users, which have not been explored yet. Extensive experiments with different baselines are respectively conducted for MSDS-ChS and MSDS-TDS. Surprisingly, verification performances of state-of-the-art methods on MSDS-TDS are generally better than those on MSDS-ChS, which indicates that the handwritten Token Digit String could be a more effective biometric than handwritten Chinese signature. This is a promising discovery that could inspire us to explore new biometric traits. The MSDS dataset is available at https://github.com/HCIILAB/MSDS.
Author Information
Peirong Zhang (College of Electronic and Information Engineering, South China University of Technology)
Jiajia Jiang (South China University of Technology)
Yuliang Liu (Huazhong University of Science and Technology)
Lianwen Jin (South China University of Technology)
More from the Same Authors
-
2022 Poster: SAPA: Similarity-Aware Point Affiliation for Feature Upsampling »
Hao Lu · Wenze Liu · Zixuan Ye · Hongtao Fu · Yuliang Liu · Zhiguo Cao -
2023 Poster: M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark »
Yongxin Shi · Chongyu Liu · Dezhi Peng · Cheng Jian · Jiarong Huang · Lianwen Jin -
2022 Spotlight: Lightning Talks 5A-2 »
Qiang LI · Zhiwei Xu · Jia-Qi Yang · Thai Hung Le · Haoxuan Qu · Yang Li · Artyom Sorokin · Peirong Zhang · Mira Finkelstein · Nitsan levy · Chung-Yiu Yau · dapeng li · Thommen Karimpanal George · De-Chuan Zhan · Nazar Buzun · Jiajia Jiang · Li Xu · Yichuan Mo · Yujun Cai · Yuliang Liu · Leonid Pugachev · Bin Zhang · Lucy Liu · Hoi-To Wai · Liangliang Shi · Majid Abdolshah · Yoav Kolumbus · Lin Geng Foo · Junchi Yan · Mikhail Burtsev · Lianwen Jin · Yuan Zhan · Dung Nguyen · David Parkes · Yunpeng Baiia · Jun Liu · Kien Do · Guoliang Fan · Jeffrey S Rosenschein · Sunil Gupta · Sarah Keren · Svetha Venkatesh -
2022 Spotlight: Lightning Talks 5B-2 »
Conglong Li · Mohammad Azizmalayeri · Mojan Javaheripi · Pratik Vaishnavi · Jon Hasselgren · Hao Lu · Kevin Eykholt · Arshia Soltani Moakhar · Wenze Liu · Gustavo de Rosa · Nikolai Hofmann · Minjia Zhang · Zixuan Ye · Jacob Munkberg · Amir Rahmati · Arman Zarei · Subhabrata Mukherjee · Yuxiong He · Shital Shah · Reihaneh Zohrabi · Hongtao Fu · Tomasz Religa · Yuliang Liu · Mohammad Manzuri · Mohammad Hossein Rohban · Zhiguo Cao · Caio Cesar Teodoro Mendes · Sebastien Bubeck · Farinaz Koushanfar · Debadeepta Dey -
2022 Spotlight: MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification »
Peirong Zhang · Jiajia Jiang · Yuliang Liu · Lianwen Jin -
2022 Spotlight: SAPA: Similarity-Aware Point Affiliation for Feature Upsampling »
Hao Lu · Wenze Liu · Zixuan Ye · Hongtao Fu · Yuliang Liu · Zhiguo Cao