Footprint-Database is a dataset of footprint images of 21 individuals captured using flatbed scanner and 32 individuals with the dactloscopic images (including left and right footprint).
Human footprint is one of the relatively new physiological biometrics due to its stable and unique characteristics. The texture and foot shape information of footprint offers one of the powerful means in personal recognition.
git clone git@github.com:goodrahstar/footprint-database.git
For those who are interested to explore the domain of biomtrics and implement a human identification system using footprint images can make uses of following research in which we used this database.
Rohit Khokher, R.C. Singh, Rahul Kumar,
Footprint Recognition with Principal Component Analysis and Independent Component Analysis,
International Conference on Science and Engineering of Materials (ICSEM 2014),
DOI: 10.1002/masy.201400045 @Inbook{Khokher2017,
author="Khokher, Rohit
and Singh, Ram Chandra",
editor="Manchanda, Pammy
and Lozi, Ren{\'e}
and Siddiqi, Abul Hasan",
title="Footprint-Based Personal Recognition Using Dactyloscopy Technique",
bookTitle="Industrial Mathematics and Complex Systems: Emerging Mathematical Models, Methods and Algorithms",
year="2017",
publisher="Springer Singapore",
address="Singapore",
pages="207--219",
isbn="978-981-10-3758-0",
doi="10.1007/978-981-10-3758-0_14",
url="https://doi.org/10.1007/978-981-10-3758-0_14"
}@article{article,
author = {Khokher, Rohit and Singh, R C},
year = {2016},
month = {11},
pages = {},
title = {Footprint-Based Personal Recognition using Scanning Technique},
volume = {9},
journal = {Indian Journal of Science and Technology},
doi = {10.17485/ijst/2016/v9i44/105167}
}We performed lots of correlations on the footprint images using various features on the left and right footprint. Also build relations between the height and weight using the foot image.
To discuss the dataset, please reachout to me at rahul@botsupply.ai
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