A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features
Using biometric data for user authentication is a frequently addressed subject within the context of computer security. Despite significant advancements in technology, handwriting analysis continues to be the most common method of identifying individuals. There are two distinct types of handwriting...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11234 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846124413854941184 |
|---|---|
| author | Alen Salkanovic David Bačnar Diego Sušanj Sandi Ljubic |
| author_facet | Alen Salkanovic David Bačnar Diego Sušanj Sandi Ljubic |
| author_sort | Alen Salkanovic |
| collection | DOAJ |
| description | Using biometric data for user authentication is a frequently addressed subject within the context of computer security. Despite significant advancements in technology, handwriting analysis continues to be the most common method of identifying individuals. There are two distinct types of handwriting recognition: offline and online. The first type involves the identification and interpretation of handwritten content obtained from an image, such as digitized human handwriting. The latter pertains to the identification of handwriting derived from digital writing performed on a touchpad or touchscreen. This research paper provides a comprehensive overview of the proposed apparatus specifically developed for collecting handwritten data. The acquisition of biometric information is conducted using a touchscreen device equipped with a variety of integrated and external sensors. In addition to acquiring signatures, the sensor-fusion-based configuration accumulates handwritten phrases, words, and individual letters to facilitate online user authentication. The proposed system can collect an extensive array of data. Specifically, it is possible to capture data related to stylus pressure, magnetometer readings, images, videos, and audio signals associated with handwriting executed on a tablet device. The study incorporates instances of gathered records, providing a graphical representation of the variation in handwriting among distinct users. The data obtained were additionally analyzed with regard to inter-person variability, intra-person variability, and classification potential. Initial findings from a limited sample of users demonstrate favorable results, intending to gather data from a more extensive user base. |
| format | Article |
| id | doaj-art-1ba9196f9c444c78a6dbb312e1c542ed |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-1ba9196f9c444c78a6dbb312e1c542ed2024-12-13T16:23:15ZengMDPI AGApplied Sciences2076-34172024-12-0114231123410.3390/app142311234A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric FeaturesAlen Salkanovic0David Bačnar1Diego Sušanj2Sandi Ljubic3University of Rijeka, Faculty of Engineering, Vukovarska 58, HR-51000 Rijeka, CroatiaCenter for Artificial Intelligence and Cybersecurity, University of Rijeka, R. Matejcic 2, HR-51000 Rijeka, CroatiaFaculty of Engineering, Juraj Dobrila University of Pula, Zagrebačka 30, HR-52100 Pula, CroatiaUniversity of Rijeka, Faculty of Engineering, Vukovarska 58, HR-51000 Rijeka, CroatiaUsing biometric data for user authentication is a frequently addressed subject within the context of computer security. Despite significant advancements in technology, handwriting analysis continues to be the most common method of identifying individuals. There are two distinct types of handwriting recognition: offline and online. The first type involves the identification and interpretation of handwritten content obtained from an image, such as digitized human handwriting. The latter pertains to the identification of handwriting derived from digital writing performed on a touchpad or touchscreen. This research paper provides a comprehensive overview of the proposed apparatus specifically developed for collecting handwritten data. The acquisition of biometric information is conducted using a touchscreen device equipped with a variety of integrated and external sensors. In addition to acquiring signatures, the sensor-fusion-based configuration accumulates handwritten phrases, words, and individual letters to facilitate online user authentication. The proposed system can collect an extensive array of data. Specifically, it is possible to capture data related to stylus pressure, magnetometer readings, images, videos, and audio signals associated with handwriting executed on a tablet device. The study incorporates instances of gathered records, providing a graphical representation of the variation in handwriting among distinct users. The data obtained were additionally analyzed with regard to inter-person variability, intra-person variability, and classification potential. Initial findings from a limited sample of users demonstrate favorable results, intending to gather data from a more extensive user base.https://www.mdpi.com/2076-3417/14/23/11234touchscreen handwritingbiometricssensor fusionapparatusauthentication |
| spellingShingle | Alen Salkanovic David Bačnar Diego Sušanj Sandi Ljubic A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features Applied Sciences touchscreen handwriting biometrics sensor fusion apparatus authentication |
| title | A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features |
| title_full | A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features |
| title_fullStr | A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features |
| title_full_unstemmed | A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features |
| title_short | A Sensor-Fusion-Based Experimental Apparatus for Collecting Touchscreen Handwriting Biometric Features |
| title_sort | sensor fusion based experimental apparatus for collecting touchscreen handwriting biometric features |
| topic | touchscreen handwriting biometrics sensor fusion apparatus authentication |
| url | https://www.mdpi.com/2076-3417/14/23/11234 |
| work_keys_str_mv | AT alensalkanovic asensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT davidbacnar asensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT diegosusanj asensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT sandiljubic asensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT alensalkanovic sensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT davidbacnar sensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT diegosusanj sensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures AT sandiljubic sensorfusionbasedexperimentalapparatusforcollectingtouchscreenhandwritingbiometricfeatures |