Titlebook: Ear Biometrics in 2D and 3D; Localization and Rec Surya Prakash,Phalguni Gupta Book 2015 Springer Science+Business Media Singapore 2015 Bio

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The Beecham Manual for Family Practiceraph connected components constructed using the edges of the depth map image of the range data for ear detection. It can detect left and right ears at the same time without imposing any additional cost or specific training. The technique has been tested on University of Notre Dame 3D profile face da

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https://doi.org/10.1007/978-981-13-1105-5m to provide most accurate system. These challenges can be minimized if two or more biometric modalities are used for authentication. Like other traits, there exist a number of multimodal approaches which fuse ear with other biometric modalities such as face, speech etc. in the literature. The fusio

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Ear Recognition in 2D,ems due to pose, poor contrast, change in illumination and lack of registration. It uses (1) three image enhancement techniques in parallel to neutralize the effect of poor contrast, noise and illumination, (2) a local feature extraction technique (SURF) on enhanced images to minimize the effect of

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Ear Recognition in 3D,ique to compare two 3D ears. In the first step, it computes salient 3D data points from 3D ear images with the help of local 2D feature points of co-registered 2D ear images. Subsequently, it uses these salient 3D points to coarsely align 3D ear images. In the second step, it performs final matching

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2190-5916 e benefit of receiving all the relevant material at one place in a very comprehensive manner. This book caters students, academics, researchers, practitioners who are interested in the field of Ear Biometrics and its applications in face recognition and security.978-981-10-1380-5978-981-287-375-0Series ISSN 2190-5916 Series E-ISSN 2190-5924