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- Title
Edge Detection and Contour Based Ear Recognition Scheme.
- Authors
Trivedi, Deven; Thanki, Rohit; Borra, Surekha
- Abstract
In recent days, with the advancements in computer vision technology pattern recognition for biometric data has been the focus of many researchers. The human ear can be used to assist in the recognition of an individual. In this article, a new scheme for ear recognition is presented, based on edge features such as the helix shape and contours between the edge pixels. First, an ear image is detected from the acquired image using a snake model-based image segmentation technique, and then histogram equalization is applied to form an enhanced ear image. After that, an Infinite Symmetric Exponential Filter (ISEF) edge is applied to the image, the contouring of edges is calculated, and then the contour values of pixels are extracted as ear features. Finally, the ear matching is performed between query ear features and enrolled ear features. Based on the matching score, the decision about individual authentication is performed. The experimental results showed that this proposed scheme performs better than existing schemes in the literature.
- Publication
Journal of Information Technology Research, 2019, Vol 12, Issue 3, pN.PAG
- ISSN
1938-7857
- Publication type
Article
- DOI
10.4018/JITR.2019070105