Abstract
In this paper, we analyze the possibility to identify people using online handwritten tasks different from the classic ones (signature and text). Our preliminary results reveal that some drawings offer a reasonably good identification rate, which is 78.5% in the case of multi-sectional vector quantization applied to classify circles and house drawing tasks. To the best of our knowledge, this is the first paper devoted to biometric recognition based on drawing tasks.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Drotar, P., Mekyska, J., Rektorova, I., Masarova, L., Smekal, Z., Faundez-Zanuy, M.: Evaluation of handwriting pressure for differential diagnosis of Parkinson’s disease. Artif. Intell. Med. 67, 39–46 (2016)
Faundez-Zanuy, M.: On-line signature recognition based on VQ-DTW. Patt. Recogn. 40, 981–992 (2007). ISSN: 0031-3203
Faundez-Zanuy, M., Pascual-Gaspar, J.M.: Efficient on-line signature recognition based on multi-section VQ. Patt. Anal. Appl. 14(1), 37–45 (2011)
Faundez-Zanuy, M., Mekyska, J.: Privacy of online handwriting biometrics related to biomedical analysis. In: Vielhauer, C. (Ed.) IET in User-Centric Privacy and Security in Biometrics, Nov 2017. Book: https://doi.org/10.1049/pbse004e Chapter: https://doi.org/10.1049/pbse004e_ch2. e-ISBN: 9781785612084 Book chapter
Foley, R.G., Miller, L.: The effects of marijuana and alcohol usage on handwriting. Forensic Sci. Int. 14(3), 159–164 (1979)
Garré-Olmo, J., Faundez-Zanuy, M., Lopez-de-Ipiña, K.: Kinematic and pressure features of handwriting and drawing: preliminary results between patients with mild cognitive impairment, Alzheimer disease and healthy controls. Curr. Alzheimer Dis. 14(9), 960–968. https://doi.org/10.2174/1567205014666170309120708
Likforman, L., Esposito, A., Faundez-Zanuy, M.: EMOTHAW: a novel database for emotion recognition from handwriting. IEEE Trans. Human-Machine Syst. 47(2), 273–284 (2017)
Nogueras, E.S., Faundez-Zanuy, M.: Biometric recognition using online uppercase handwritten text. Patt. Recogn. 45, 128–144 (2012)
Acknowledgements
This work has been supported by FEDER and MEC, TEC2016-77791-C4-2-R.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Lopez-Xarbau, J., Faundez-Zanuy, M., Garnacho-Castaño, M. (2020). Preliminary Study on Biometric Recognition Based on Drawing Tasks. In: Esposito, A., Faundez-Zanuy, M., Morabito, F., Pasero, E. (eds) Neural Approaches to Dynamics of Signal Exchanges. Smart Innovation, Systems and Technologies, vol 151. Springer, Singapore. https://doi.org/10.1007/978-981-13-8950-4_43
Download citation
DOI: https://doi.org/10.1007/978-981-13-8950-4_43
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-8949-8
Online ISBN: 978-981-13-8950-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)