Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques

Khamiss Masaoud S Algabary, Khairuddin Omar, Md. Jan Nordin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The ear recognition techniques in image processing become a key issue in ear identification and analysis for many geometric applications. Some current specialized feature extraction methods attempted to examine the effects of pose variation and lighting changes that potentially alter the visual characteristics of the structure of the ear. In addition, one of the main issues to be addressed is the need for larger datasets of ear images. Where in a more accurate estimate of the recognition performance can be obtained, and the potential variations in the performance can be analyzed. The classifier combination problem can be defined as a problem of finding the combination function accepting dimensional score vectors from classifiers and outputting final classification scores. The main objectives of this research are: To enhance the pose variations including differing angulations and distances by combining the Iterative Closest Point (ICP) algorithm matching with the Stochastic Clustering Method (SCM) and to propose an effective surface matching scheme based on the modified ICP algorithm combined SCM method. ICP is widely used for 3D shape When the input is a 2D image, the result is usually affected by the two limiting factors; lighting and angle of image, on the other hand, when the input is a 3D image the weakness is that the time for processing usually takes longer compared to processing 2D images and that the method is usually hard to apply in real life situation. An efficient ear recognition system therefore is one that integrates different methods such as the ICP and SCM into a neural network. The neural network should be able to perform logical and real-time assessment from minimal information inputs and it should be affected minimally by different factors that influence image quality. The most important steps in the research methodology are:- Integration of ICP and SCM Algorithms, Ear Feature Extraction, a local feature extraction technique (SURF) used to enhance the images to minimize the effect of pose variations and reduced image registration, the SURF feature carried out on enhanced images to gain the sets of local features for each enhanced image, Ear Learning, Ear Classification and Ear Matching.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages375-389
Number of pages15
Volume376 CCIS
ISBN (Print)9783642404085
DOIs
Publication statusPublished - 2013
Event16th FIRA RoboWorld Congress, FIRA 2013 - Kuala Lumpur
Duration: 24 Aug 201329 Aug 2013

Publication series

NameCommunications in Computer and Information Science
Volume376 CCIS
ISSN (Print)18650929

Other

Other16th FIRA RoboWorld Congress, FIRA 2013
CityKuala Lumpur
Period24/8/1329/8/13

Fingerprint

Feature extraction
Image processing
Classifiers
Lighting
Neural networks
Image registration
Image quality
Processing

Keywords

  • Biometric system
  • Feature extraction
  • Image understanding ear identification
  • Preprocessing

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Algabary, K. M. S., Omar, K., & Nordin, M. J. (2013). Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques. In Communications in Computer and Information Science (Vol. 376 CCIS, pp. 375-389). (Communications in Computer and Information Science; Vol. 376 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-642-40409-2_32

Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques. / Algabary, Khamiss Masaoud S; Omar, Khairuddin; Nordin, Md. Jan.

Communications in Computer and Information Science. Vol. 376 CCIS Springer Verlag, 2013. p. 375-389 (Communications in Computer and Information Science; Vol. 376 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Algabary, KMS, Omar, K & Nordin, MJ 2013, Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques. in Communications in Computer and Information Science. vol. 376 CCIS, Communications in Computer and Information Science, vol. 376 CCIS, Springer Verlag, pp. 375-389, 16th FIRA RoboWorld Congress, FIRA 2013, Kuala Lumpur, 24/8/13. https://doi.org/10.1007/978-3-642-40409-2_32
Algabary KMS, Omar K, Nordin MJ. Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques. In Communications in Computer and Information Science. Vol. 376 CCIS. Springer Verlag. 2013. p. 375-389. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-40409-2_32
Algabary, Khamiss Masaoud S ; Omar, Khairuddin ; Nordin, Md. Jan. / Human Ear Recognition Using an Integrated Method of ICP and SCM Techniques. Communications in Computer and Information Science. Vol. 376 CCIS Springer Verlag, 2013. pp. 375-389 (Communications in Computer and Information Science).
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