A Novel Approach to Automatic Ear Detection Using Banana Wavelets and Circular Hough Transform
- Title
- A Novel Approach to Automatic Ear Detection Using Banana Wavelets and Circular Hough Transform
- Creator
- Resmi K.R.; Raju G.
- Description
- Ear is an attractive biometric trait that maintain their structure with increasing age. Because of the complex geometry of ear, its detection is very difficult. This paper proposes a modified algorithm for automatic detection of 2D ear images using Banana wavelets and Hough transform. Banana wavelets derived from bank of stretched and curved Gabor wavelets are used to identify curvilinear ear structure. Addition of a preprocessing stage, prior to application of banana wavelets is found to improve the detection results further. The proposed algorithm is brought in to comparison with three existing algorithms and evaluated on standard databases. In addition to manual detection accuracy, this paper also calculates the efficiency of the proposed method using automatic classification techniques. The features like LBP and Gabor extracted from segmented ear image is used by different classifiers to determine whether the segmented portion of the image is class Ear or Non ear. 2019 IEEE.
- Source
- 2019 International Conference on Data Science and Communication, IconDSC 2019
- Date
- 2019-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- adaptive histogram equalization; banana wavelets; biometric; ear detection; hough transform; skin segmentation
- Coverage
- Resmi K.R., School of Computer Science, Mahatma Gandhi University, Kottayam, India; Raju G., Department of Computer Science and Engineering, Christ Deemed To be University, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-153869319-3
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Resmi K.R.; Raju G., “A Novel Approach to Automatic Ear Detection Using Banana Wavelets and Circular Hough Transform,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20829.