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Updated: May 24, 2026
09:41
Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
Published on: April 21, 2023
Unconstrained and contactless hand geometry biometrics.
Alberto de-Santos-Sierra1, Carmen Sánchez-Ávila, Gonzalo Bailador Del Pozo
1Group of Biometrics, Biosignals and Security, Universidad Politécnica de Madrid, Campus de Montegancedo s/n, 28223 Pozuelo de Alarcón, Madrid, Spain. alberto@cedint.upm.es
Sensors (Basel, Switzerland)
|February 21, 2012
Summary
This study introduces a novel hand biometric system for contactless identification. The system offers superior accuracy and efficiency compared to existing methods, ideal for mobile devices.
Area of Science:
- Biometrics
- Computer Vision
- Pattern Recognition
Background:
- Contactless biometrics are crucial for secure and convenient identification.
- Existing hand biometric systems face challenges in accuracy and computational cost.
Purpose of the Study:
- To develop an innovative hand biometric system for contactless, platform-free scenarios.
- To improve feature extraction, template creation, and matching processes.
- To evaluate the system's performance against established techniques.
Main Methods:
- Proposed novel methods for feature extraction, template creation, and template matching.
- Utilized three publicly available contactless hand databases for evaluation.
- Compared performance against Support Vector Machines (SVM) and k-Nearest Neighbour (k-NN).
Main Results:
- The proposed method demonstrated superior performance over existing approaches.
- Achieved better accuracy in human identification.
- Required fewer extracted features and samples for template creation.
- Exhibited lower computational cost.
Conclusions:
- The developed hand biometric system is a suitable solution for contactless human identification.
- Offers a feasible option for devices with limited hardware, such as mobile devices.
- Represents an advancement in efficient and accurate biometric identification.
