Data Storage for Mobile Touch Pass and Bio-Touch Pass Pattern Character Drawing Using Fingertips

Authors

Keywords:

Recurrent Neural Network, Dynamic Time Wrapping (DTW), Mobile Database, Bio Database

Abstract

Authentication is essential when protecting financial transactions or maintaining authorized documents. Daily, passwords are still used for several purposes. However, they frequently lack appropriate security while acting alone. This initiative enhances password conditions by requiring users to sketch each character of the secret phrase rather than typing them as they usually would. Using biometric information as a second level of client verification advances the conventional confirmation methods reliant on Personal Identification Numbers (PINs) and One-Time Passwords (OTP). In our suggested approach, users draw the secret phrase's digits on the device's touch screen instead of entering them all. In our suggested biometric architecture, the discriminative power of each handwritten digit is thoroughly examined, along with the strength when lengthening the secret key and the number of enrollment tests. The new e-Bio Digit information base, which provides online transcribed digits from 0 to 9, was developed using a mobile phone and finger input. In our suggested method, clients draw the secret word's numbers on the device's touch screen instead of typing them in. In our suggested biometric architecture, the discriminative power of each transcribed digit is mostly thoroughly examined, as well as the robustness when lengthening the secret phrase and the number of enrollment tests. The new e-Bio Digit information base was created utilizing a mobile phone and finger input and comprises online handwritten digits from 0 to 9.

Downloads

Download data is not yet available.

References

"BioTouchPass2: Touchscreen Password Biometrics Using Time Aligned Recurrent Neural Networks IEEE," by Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-Garcia, appeared in IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 15, 2020.

Nouby M. Ghazaly, M. M. A. . (2022). A Review on Engine Fault Diagnosis through Vibration Analysis . International Journal on Recent Technologies in Mechanical and Electrical Engineering, 9(2), 01–06. https://doi.org/10.17762/ijrmee.v9i2.364

International Journal of Computer Science and Information Technology (IJCSIT), Volume 3, Number 1, February 2011, DOI: 10.5121/ijcsit.2011.3103

J. Pradeep, E. Additionally, S. In the 12th International Conference on Fuzzy Systems and Knowledge (2015), Himavathi published "DIAGONAL BASED FEATURE EXTRACTION FOR HANDWRITTEN ALPHABETS RECOGNITION SYSTEM USING NEURAL NETWORK."

Hong Zhang Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan, China Caiyun Ma College of Computer Science and Technology Wuhan University of Science and Technology Wuhan, China "Discovery (FSKD) Effective Handwritten Digit Recognition Based on Multi-feature Extraction and Deep Analysis" in Proceedings of the International Conference on Electronics and Sustainable Communication Systems (ICESC 2020) IEEE X.

Prof. Vaibhav. Handwritten Character Recognition to Obtain Editable Text" in the 2020 International Conference on Electronics and Sustainable Communication Systems by V. Mainkar, Mr Ajinkya B. Upade, Ms Jyoti A. Katkar, and Ms Poonam R. (ICESC).

Garg, D. K. . (2022). Understanding the Purpose of Object Detection, Models to Detect Objects, Application Use and Benefits. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(2), 01–04. https://doi.org/10.17762/ijfrcsce.v8i2.2066

"Offline Handwritten Character Recognition Using Neural Network2011" by Anshul Gupta, Manisha Srivastava, and Chitralekha Mahanta was published in the International Conference on Computer Applications and Industrial Electronics (ICCAIE 2011)2019 International Conference on Document Analysis and Recognition (ICDAR)

R. A Scalable Handwritten Text Recognition System, Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, and Ashok C. Popat Google Research Mountain View, CA 94043

M. In the 2019 IEEE, Rajalakshmi, P. Saranya, and P. Shanmugavadivu published "Pattern Recognition - Recognition of Handwritten Document Using Convolutional Neural Networks."

S. Jenefa Jemima, "Secured Data Retrieval In Disruption Tolerant Military Networks Using Cp-Abe," International Journal of Engineering and Management Research, Volume 5, Issue 2, pp. 704–711, 2015.R. Tolosana and R. J. and Vera-Rodriguez Handwritten passwords for touchscreen biometrics: Fierrez, IEEE Trans. 10.1109/TMC.2019.2911506, Mobile Computing PP(99)

Javier Ortega-Garcia, Aythami Morales, Julian Fierrez, Ruben Tolosana, "Do You Need More Data? The IEEE Sept 2019 International Conference on Document Analysis and Recognition, "The DeepSignDB On-Line Handwritten Signature Biometric Database" (ICDAR)

R. A Scalable Handwritten Text Recognition System by Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers, Jonathan Baccash, and Ashok C. Popat was presented at the 2019 International Conference on Document Analysis and Recognition (ICDAR) in Mountain View, California.

Hermina, J. ., Karpagam, N. S. ., Deepika, P. ., Jeslet, D. S. ., & Komarasamy, D. (2022). A Novel Approach to Detect Social Distancing Among People in College Campus. International Journal of Intelligent Systems and Applications in Engineering, 10(2), 153–158. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/1823

Yang, J.-P. . “A Novel Storage Virtualization Scheme for Network Storage Systems”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 1, Jan. 2022, pp. 08-13, doi:10.17762/ijritcc.v10i1.5514.

"Pattern Recognition of Handwritten Document Using Convolutional Neural Networks" IEEE 2019 International Conference by M. Rajalakshmi, P. Saranya, and P. Shanmugavadivu, Professor Scholar Dept. of Computer Science and Applications Gandhigram Rural Institute

Rathidevi, "Secure multi-owner data sharing for dynamic groups in the cloud," International Journal of Innovations in Engineering Research and Technology, vol. 2, no. 5, 2015, pp. 2394–3696.

Exploring Recurrent Neural Networks for Online Handwritten Signature Biometrics, Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez, and Javier Ortega-Garcia, Biometrics and Data Pattern Analytics (BiDA) Lab-ATVS, Universidad Autonoma de Madrid, 28049 Madrid, Spain, 2018.

Chaudhary, S. . (2022). On the Minimality of Leibniz Isomorphisms. International Journal on Recent Trends in Life Science and Mathematics, 9(1), 11–18. https://doi.org/10.17762/ijlsm.v9i1.137

Javier Galbally, Julian Fierrez, and Marcos Martinez-Diaz, "Graphical Password-Based User Authentication With Free-Form Doodles," IEEE Transactions on Human-Machine Systems, Vol. No. 46, August 2016, page 4

"Investigation on Touch Biometrics: Behavioural Factors on Screen Size, Physical Context, and Application Context" in 978-1-4799-1737-2/15/$31.00 2015 IEEE 2015 by Tao Feng, Xi Zhao, Nick DeSalvo, Tzu-Hua Liu, Zhimin Gao, and Weidong Shi

U. Mahbub, V. M. Patel, S. Sarkar, and R. "Active user authentication for smartphones: A challenge data set and benchmark results," by Chellappa, Proc. IEEE BTAS, pp. 1–2, 2016.

J. M. Martinez-Diaz, J. Galbally, A. Pozo, Fierrez, and A. Benchmarking Touchscreen Biometrics for Mobile Authentication, IEEE Transactions on, Morales on Information Security and Forensics, vol. 13, 2018

"DeepWriteSYN: Online Handwriting Synthesisvia Deep Short-Term Representations," Ruben Tolosana, Paula Delgado-Santos, Andres Perez-Uribe, Ruben Vera Rodriguez, Julian Fierrez, and Aythami Morales

N. A. Libre. (2021). A Discussion Platform for Enhancing Students Interaction in the Online Education. Journal of Online Engineering Education, 12(2), 07–12. Retrieved from http://onlineengineeringeducation.com/index.php/joee/article/view/49

Data Flow Through Handwritten Methods

Downloads

Published

01.10.2022

How to Cite

V, J. ., & Dilip, G. . (2022). Data Storage for Mobile Touch Pass and Bio-Touch Pass Pattern Character Drawing Using Fingertips. International Journal of Intelligent Systems and Applications in Engineering, 10(3), 187–194. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/2154

Issue

Section

Research Article