# BiosecurID: a multimodal biometric database

arXiv: https://arxiv.org/abs/2111.03472 · HTML: https://mlsanity.com/paper/2111.03472/

## Key facts

- Cited by 21 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 31 references that are in the map.
- First posted on arXiv 2 Nov 2021.

## Built on by (most cited first, 21 of 21)

- [Handwriting Biometrics: Applications and Future Trends in e-Security and e-Health](https://mlsanity.com/paper/2202.12760/) (2022)
- [A Perspective Analysis of Handwritten Signature Technology](https://mlsanity.com/paper/2405.13555/) (2024)
- [TypeFormer: Transformers for Mobile Keystroke Biometrics](https://mlsanity.com/paper/2212.13075/) (2022)
- [iDeLog: Iterative Dual Spatial and Kinematic Extraction of Sigma-Lognormal Parameters](https://mlsanity.com/paper/2401.15473/) (2024)
- [EMOTHAW: A novel database for emotional state recognition from handwriting](https://mlsanity.com/paper/2202.12245/) (2022)
- [A comparative study of in-air trajectories at short and long distances in online handwriting](https://mlsanity.com/paper/2202.12237/) (2022)
- [Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluation](https://mlsanity.com/paper/2311.06000/) (2023)
- [Type2Branch: Keystroke Biometrics based on a Dual-branch Architecture with Attention Mechanisms and Set2set Loss](https://mlsanity.com/paper/2405.01088/) (2024)
- [KVC-onGoing: Keystroke Verification Challenge](https://mlsanity.com/paper/2412.20530/) (2024)
- [The effect of fatigue on the performance of online writer recognition](https://mlsanity.com/paper/2202.12694/) (2022)
- [Digital Speech Algorithms for Speaker De-Identification](https://mlsanity.com/paper/2203.03932/) (2022)
- [A Preliminary Study on Aging Examining Online Handwriting](https://mlsanity.com/paper/2203.03933/) (2022)
- [Preliminary experiments on automatic gender recognition based on online capital letters](https://mlsanity.com/paper/2203.06265/) (2022)
- [Gender classification by means of online uppercase handwriting: A text-dependent allographic approach](https://mlsanity.com/paper/2203.09848/) (2022)
- [Biometric Signature Verification Using Recurrent Neural Networks](https://mlsanity.com/paper/2205.02934/) (2022)
- [Introduction to Presentation Attacks in Signature Biometrics and Recent Advances](https://mlsanity.com/paper/2302.08320/) (2023)
- [K-nearest neighbour and dynamic time warping for online signature verification](https://mlsanity.com/paper/2111.14438/) (2021)
- [Speaker Identification Experiments Under Gender De-Identification](https://mlsanity.com/paper/2203.04638/) (2022)
- [Online Signature Recognition: A Biologically Inspired Feature Vector Splitting Approach](https://mlsanity.com/paper/2405.12556/) (2024)
- [Block Induced Signature Generative Adversarial Network (BISGAN): Signature Spoofing Using GANs and Their Evaluation](https://mlsanity.com/paper/2410.06041/) (2024)
- [GAFSV-Net: A Vision Framework for Online Signature Verification](https://mlsanity.com/paper/2605.00120/) (2026)

## Abstract (arXiv)

A new multimodal biometric database, acquired in the framework of the BiosecurID project, is presented together with the description of the acquisition setup and protocol. The database includes eight unimodal biometric traits, namely: speech, iris, face (still images, videos of talking faces), handwritten signature and handwritten text (on-line dynamic signals, off-line scanned images), fingerprints (acquired with two different sensors), hand (palmprint, contour-geometry) and keystroking. The database comprises 400 subjects and presents features such as: realistic acquisition scenario, balanced gender and population distributions, availability of information about particular demographic groups (age, gender, handedness), acquisition of replay attacks for speech and keystroking, skilled forgeries for signatures, and compatibility with other existing databases. All these characteristics make it very useful in research and development of unimodal and multimodal biometric systems.