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.

翻译：虽然在线笔迹核查最近取得了很大进展,但由于数据集规模小以及生物测定介质有限,核查业绩仍然远远落后于实际使用。因此,本文件提出一个新的笔迹核查基准数据集,名称为多式签名和数字化字符串(MSDS),由402个用户提供,每个用户有20个真正的样本和20个熟练的伪造工具。MSDS-ChS由中国手写签名组成,据我们所知,这是用于笔迹核查的最大公开的中国签名数据集,至少比现有的在线数据集多八倍。与此同时,MSDS-TDS由手写的Token DigStrings(中国签名)和MSDS-TDS(Token Digit Strings)两个子集组成,这两个子组的用户实际电话号码尚未探讨。 分别对MSDS-CS和MSDS-TDS进行了不同基线的广泛试验。