
Ear Biometric System: Geometric Feature Extraction Using Distributed Database | IJCT Volume 13 – Issue 2 | IJCT-V13I2P102

International Journal of Computer Techniques
ISSN 2394-2231
Volume 13, Issue 2 | Published: March – April 2026
Table of Contents
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Ridhima Bhardwaj, Vandana Kumari, Ms. Soni Panwar
Abstract
In modern times, the use of biometric technologies has become prevalent in securing and identifying individuals. One such biometric trait is the shape of the ears of the individuals, which changes very little throughout the course of their life. In this paper, our focus will be on the Ear Biometric System, whereby individuals can be recognized through the geometry of their ears and their structure. Mathematical image processing methods will be used to determine important points in the ear and generate feature vectors for comparison purposes. The application of a distributed database approach will be considered to ensure that the recognition process becomes faster for large-scale applications. This is a non-contact method that is convenient and compatible with masks.
Keywords
Ear Biometrics, Geometric Feature Extraction, Distributed Database, Image Processing, Security System.
Conclusion
The proposed approach illustrates that the recognition technology for ear biometrics can become an efficient solution that can be used as a contact-free biometric tool. Applying mathematics, including Gaussian blur, and applying the edge detector tool, it is possible to imitate and compare the important ear boundaries. Moreover, the proposed system is not associated with the limitations characteristic of facial and fingerprint recognition and works rather well even if people wear masks. It would be reasonable to enhance the efficiency of the algorithm by implementing additional datasets and other biometric measures, such as ear biometrics. This project can be seen as a starting point for further research in this field that would help to develop various application solutions for use in attendance systems, security control at airports, and access management systems. Such an approach can illustrate an efficient use of biometric technology in practice.
References
[1]Jawale, J.B., & Bhalchandra, A.S. (2011). Attendance Monitoring System (Ear based).
[2]Attarchi, S., Faez, K., & Rafiei, A. (2008). Intelligent Vision Systems Advanced Concepts, LNCS 5259.
[3]Ansari, S., & Gupta, P. (2007). Ear Localization Ear Curve Outer Helix. Computing: Theory and Applications.
[4]Prakash, S., & Gupta, P. (2012). A Localization Technique of the Ear. Image and Vision Computing, 30(1).
[5]Yan, P., & Bowyer, K.W. (2007). Using 3D Ear Shape to Recognize Biometrics. Pattern Analysis and Machine Intelligence 29(8): IEEE.
[6]Pflug, A., Winterstein, A., & Busch, C. (2012). A Survey of Detection, Feature Extraction and Recognition Methods.
How to Cite This Paper
Ridhima Bhardwaj, Vandana Kumari, Ms. Soni Panwar (2026). Ear Biometric System: Geometric Feature Extraction Using Distributed Database. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.









