Abstract
We have presented here an online signature database. The main issue in signature verification is to acquire the reliable signature database for checking the performance of the developed system. In this work, we have collected a signature database, mobile-based signature database (MOBSIGN DB). We have followed the same protocols as followed in SVC2004 signature database. We have collected dynamic as well as offline images of the signatures. The dynamic properties include xy coordinates and actual time taken for doing the signature (which was arbitrarily taken in SVC2004) for each data point of the captured signatures.
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Acknowledgements
Authors acknowledge that the signatures used in building the mobile-based signature database (MOBSIGN DB) are collected only for the research purpose with the prior consent of the users. Also, the present study is included in the Ph.D. thesis of the principal author which was evaluated by the duly approved panel and the research committee of the Department of Computer Science and Applications, Panjab University, Chandigarh, India.
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Rohilla, S., Sharma, A., Singla, R.K. (2021). Mobile-Based Signature Database (MOBSIGN DB): A New Signature Database. In: Hura, G.S., Singh, A.K., Siong Hoe, L. (eds) Advances in Communication and Computational Technology. ICACCT 2019. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. https://doi.org/10.1007/978-981-15-5341-7_13
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DOI: https://doi.org/10.1007/978-981-15-5341-7_13
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