├── LICENSE ├── README.md ├── application-form ├── .ignore ├── Application-Form-for-Using-MSDS.docx └── Legal-Commitment.docx └── images ├── chs-tds.png └── gui.png /LICENSE: -------------------------------------------------------------------------------- 1 | GNU GENERAL PUBLIC LICENSE 2 | Version 3, 29 June 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU General Public License is a free, copyleft license for 11 | software and other kinds of works. 12 | 13 | The licenses for most software and other practical works are designed 14 | to take away your freedom to share and change the works. By contrast, 15 | the GNU General Public License is intended to guarantee your freedom to 16 | share and change all versions of a program--to make sure it remains free 17 | software for all its users. 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It is safest 630 | to attach them to the start of each source file to most effectively 631 | state the exclusion of warranty; and each file should have at least 632 | the "copyright" line and a pointer to where the full notice is found. 633 | 634 | 635 | Copyright (C) 636 | 637 | This program is free software: you can redistribute it and/or modify 638 | it under the terms of the GNU General Public License as published by 639 | the Free Software Foundation, either version 3 of the License, or 640 | (at your option) any later version. 641 | 642 | This program is distributed in the hope that it will be useful, 643 | but WITHOUT ANY WARRANTY; without even the implied warranty of 644 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 645 | GNU General Public License for more details. 646 | 647 | You should have received a copy of the GNU General Public License 648 | along with this program. If not, see . 649 | 650 | Also add information on how to contact you by electronic and paper mail. 651 | 652 | If the program does terminal interaction, make it output a short 653 | notice like this when it starts in an interactive mode: 654 | 655 | Copyright (C) 656 | This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'. 657 | This is free software, and you are welcome to redistribute it 658 | under certain conditions; type `show c' for details. 659 | 660 | The hypothetical commands `show w' and `show c' should show the appropriate 661 | parts of the General Public License. Of course, your program's commands 662 | might be different; for a GUI interface, you would use an "about box". 663 | 664 | You should also get your employer (if you work as a programmer) or school, 665 | if any, to sign a "copyright disclaimer" for the program, if necessary. 666 | For more information on this, and how to apply and follow the GNU GPL, see 667 | . 668 | 669 | The GNU General Public License does not permit incorporating your program 670 | into proprietary programs. If your program is a subroutine library, you 671 | may consider it more useful to permit linking proprietary applications with 672 | the library. If this is what you want to do, use the GNU Lesser General 673 | Public License instead of this License. But first, please read 674 | . 675 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | #
📝MSDS Dataset 2 | 3 |
4 | SCUT DLVC Lab 5 | Static Badge 6 | Static Badge 7 | Static Badge 8 |

9 | 10 | MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification 11 | 12 | Neural Information Processing Systems (NeurIPS) Spotlight, 2022 13 | 14 | :star:Official release of the MSDS dataset. 15 |
16 | 17 | ## Directory 18 | 19 | - [Usage & Download](#usage&download) 20 | - [Description](#description) 21 | - [Collection](#collection) 22 | - [Responsible Use](#responsible-use) 23 | - [Experimental Result](#experimental-result) 24 | - [License](#license) 25 | - [Directory Format](#directory-format) 26 | - [Copyright](#copyright) 27 | 28 | ##
🖥️Usage & Download
29 | 30 | - The MSDS dataset can only be used for non-commercial research purposes. For scholar or organization who wants to use the MSDS dataset, please first fill in this [Application Form](./application-form/Application-Form-for-Using-MSDS.docx) and sign the [Legal Commitment](./application-form/Legal-Commitment.docx) and email them to us. When submitting the application form to us, please list or attached 1-2 of your publications in the recent 6 years to indicate that you (or your team) do research in the related research fields of handwriting verification, handwriting analysis and recognition, document image processing, and so on. 31 | - We will give you the download link and the decompression password after your application has been received and approved. 32 | - All users must follow all use conditions; otherwise, the authorization will be revoked. 33 | 34 | ##
📖Description
35 | 36 | MSDS dataset is a handwriting verification benchmark dataset and consists of two subsets: MSDS-ChS (for Chinese signatures) and MSDS-TDS (for Token Digit Strings). Each subset contains 16080 samples from 402 users, with 20 genuine samples and 20 skilled forgeries per user. The details are presented below: 37 | 38 | | Subset | Content | Online | Offline | User | Genuine Sample | Skilled Forgery | Features | 39 | | -------- | ------------------ | :----: | :-----: | ---- | --------------------------- | --------------------------- | --------------- | 40 | | MSDS-ChS | Chinese Signature | ✓ | ✓ | 402 | $402\times(10 + 10) = 8040$ | $402\times(10 + 10) = 8040$ | $X,Y,P,T,I_r,U$ | 41 | | MSDS-TDS | Token Digit String | ✓ | ✓ | 402 | $402\times(10 + 10) = 8040$ | $402\times(10 + 10) = 8040$ | $X,Y,P,T,I_r,U$ | 42 | 43 | $X,Y,P,T,I_r,U$ respectively denote the $x, y$ coordinates, pressure, timestamps, rendered static images, and the pen-up/pen-down information. The pen-down/pen-up information is represented by 0~4. 0 indicates that this is not a pen-up/pen-down point. 1 indicates that this is a pen-down point. 2 indicates that this is a pen-up point. 3 indicates that this point is both a pen-up and pen-down point, which is isolated. 44 | 45 | The contributions of MSDS include: 46 | 47 | - [x] MSDS-ChS is the largest publicly available Chinese signature dataset for signature for signature verification, at least eight times larger than existing ones. 48 | - [x] MSDS-TDS is the first dataset that covers Token Digit String, which brings a new and effective biometric for handwriting verification. 49 | - [x] The experimental results indicates that the Token Digit String is more powerful than Chinese signature, which is inspiring and promising. 50 | 51 | ##
🧬Collection
52 | 53 | The data of MSDS was acquired with two types of Android tablets. Both of them have specific stylus. We specifically developed an Android app and the user interface is shown below. Users directly performed handwriting on the tablets with specific styluses and the produced information was automatically recorded by the app. 54 | 55 | ![gui](./images/gui.png) 56 | 57 | The data acquisition process is divided into two separate sessions with a time interval of at least 21 days. In each session, users performed writing according to the same procedure: 10 genuine signatures→10 genuine phone numbers→10 forged signatures→10 forged phone numbers. 58 | 59 | ##
⚒️Responsible Use
60 | 61 | MSDS is collected for handwriting identity verification. Specifically, the MSDS-ChS subset could be exploited in online/offline Chinese signature verification, and the MSDS-TDS subset is intended to be used in online/offline identity verification with Token Digit Strings. In addition, MSDS can be exploited in writer identification. 62 | 63 | ##
🔭Experimental Result
64 | 65 | ![chs](./images/chs-tds.png) 66 | 67 | Experimental results show all models perform better on MSDS-TDS than MSDS-ChS. This finding is inspiring that the accuracy of TDS verification is higher than that of Chinese signature verification as the two subsets were collected simultaneously. Therefore, Token Digit String could be a more effective biometric trait than Chinese signature for high-accurate online verification. 68 | 69 | ##
📄License
70 | 71 | MSDS should be used and distributed under [Creative Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License](https://creativecommons.org/licenses/by-nc-nd/4.0/) for non-commercial research purposes. 72 | 73 | ##
📁Directory Format
74 | 75 | The dataset is organized in the following directory format: 76 | 77 | ```bash 78 | ├─MSDS 79 | │ ├─MSDS-ChS 80 | │ │ ├─session1 81 | │ │ │ ├─0 82 | │ │ │ │ ├─images 83 | │ │ │ │ │ ├─f_0_0.png 84 | │ │ │ │ │ ├─f_0_1.png 85 | │ │ │ │ │ ├─... 86 | │ │ │ │ │ ├─g_0_0.png 87 | │ │ │ │ │ ├─g_0_1.png 88 | │ │ │ │ │ └─... 89 | │ │ │ │ └─series 90 | │ │ │ │ │ ├─f_0_0.txt 91 | │ │ │ │ │ ├─f_0_1.txt 92 | │ │ │ │ │ ├─... 93 | │ │ │ │ │ ├─g_0_0.txt 94 | │ │ │ │ │ ├─g_0_1.txt 95 | │ │ │ │ │ └─... 96 | │ │ │ ├─1 97 | │ │ │ │ ├─images 98 | │ │ │ │ │ ├─f_0_0.png 99 | │ │ │ │ │ ├─f_0_1.png 100 | │ │ │ │ │ ├─... 101 | │ │ │ │ │ ├─g_0_0.png 102 | │ │ │ │ │ ├─g_0_1.png 103 | │ │ │ │ │ └─... 104 | │ │ │ │ └─series 105 | │ │ │ │ │ ├─f_0_0.txt 106 | │ │ │ │ │ ├─f_0_1.txt 107 | │ │ │ │ │ ├─... 108 | │ │ │ │ │ ├─g_0_0.txt 109 | │ │ │ │ │ ├─g_0_1.txt 110 | │ │ │ │ │ └─... 111 | │ │ │ └─... 112 | │ │ └─session2 113 | │ │ ├─... 114 | │ └─MSDS-TDS 115 | │ │ ├─session1 116 | │ │ │ ├─0 117 | │ │ │ │ ├─images 118 | │ │ │ │ │ ├─f_0_0.png 119 | │ │ │ │ │ ├─f_0_1.png 120 | │ │ │ │ │ ├─... 121 | │ │ │ │ │ ├─g_0_0.png 122 | │ │ │ │ │ ├─g_0_1.png 123 | │ │ │ │ │ └─... 124 | │ │ │ │ └─series 125 | │ │ │ │ │ ├─f_0_0.txt 126 | │ │ │ │ │ ├─f_0_1.txt 127 | │ │ │ │ │ ├─... 128 | │ │ │ │ │ ├─g_0_0.txt 129 | │ │ │ │ │ ├─g_0_1.txt 130 | │ │ │ │ │ └─... 131 | │ │ │ ├─1 132 | │ │ │ │ ├─images 133 | │ │ │ │ │ ├─f_0_0.png 134 | │ │ │ │ │ ├─f_0_1.png 135 | │ │ │ │ │ ├─... 136 | │ │ │ │ │ ├─g_0_0.png 137 | │ │ │ │ │ ├─g_0_1.png 138 | │ │ │ │ │ └─... 139 | │ │ │ │ └─series 140 | │ │ │ │ │ ├─f_0_0.txt 141 | │ │ │ │ │ ├─f_0_1.txt 142 | │ │ │ │ │ ├─... 143 | │ │ │ │ │ ├─g_0_0.txt 144 | │ │ │ │ │ ├─g_0_1.txt 145 | │ │ │ │ │ └─... 146 | │ │ │ └─... 147 | │ └─session2 148 | │ │ ├─... 149 | ``` 150 | 151 | - The `MSDS-ChS` folder contains Chinese signatures and `MSDS-TDS` contains Token Digit Strings (TDS). 152 | - Each of them contains the data in two sessions which is stored in `session1` and `session2`. 153 | - The users are arranged from `0` to `401`, with online dynamic time series and offline static images provided in `series` and `images`. The time series are saved as `.txt` files and the images are in `.png` format. 154 | - The naming of each file follows the same format: `flag_user_index`. 155 | - - `flag` is `f` or `g`. `f` indicates that this file is a skilled forgery, while `g` indicates that it is a genuine sample. 156 | - - `user` indicates the number of user of this file. 157 | - - `index` indicates the number of this file (`.txt` or `.png`) in the current folder. 158 | - - For example, `f_0_0.txt` represents the first file (time series) of all skilled forgeries of the user `0`. `g_5_6.png` represents the seventh file (image) of all genuine samples of the user `5`. 159 | 160 | ##
:bookmark_tabs:Citation
161 | 162 | ``` 163 | @inproceedings{zhang2022msds, 164 | author = {Zhang, Peirong and Jiang, Jiajia and Liu, Yuliang and Jin, Lianwen}, 165 | booktitle = {{Advances in Neural Information Processing Systems (NeurIPS)}}, 166 | pages = {36507--36519}, 167 | title = {{MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification}}, 168 | volume = {35}, 169 | year = {2022} 170 | } 171 | ``` 172 | 173 | ## 174 | 175 | For commercial purpose usage, please contact Prof. Lianwen Jin: eelwjin@scut.edu.cn. 176 | 177 | Copyright 2022-2025, [Deep Learning and Vision Computing Lab](http://www.dlvc-lab.net), South China China University of Technology. 178 | -------------------------------------------------------------------------------- /application-form/.ignore: -------------------------------------------------------------------------------- 1 | 2 | -------------------------------------------------------------------------------- /application-form/Application-Form-for-Using-MSDS.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HCIILAB/MSDS/b25fc79028bd2dff64ebdab7eedf1941ae94bb08/application-form/Application-Form-for-Using-MSDS.docx -------------------------------------------------------------------------------- /application-form/Legal-Commitment.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HCIILAB/MSDS/b25fc79028bd2dff64ebdab7eedf1941ae94bb08/application-form/Legal-Commitment.docx -------------------------------------------------------------------------------- /images/chs-tds.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HCIILAB/MSDS/b25fc79028bd2dff64ebdab7eedf1941ae94bb08/images/chs-tds.png -------------------------------------------------------------------------------- /images/gui.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/HCIILAB/MSDS/b25fc79028bd2dff64ebdab7eedf1941ae94bb08/images/gui.png --------------------------------------------------------------------------------