Feature extraction algorithm for automatic ear recognition

A feature vector, ear positioning technology, applied in the field of ear recognition, can solve problems such as movement, achieve high processing power, robustness and high efficiency against rotation and scaling errors

Inactive Publication Date: 2007-08-08
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

However, there are some problems in using the Iannarelli algorithm; for example, changing lighting conditions or shading of the measured

Method used

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  • Feature extraction algorithm for automatic ear recognition
  • Feature extraction algorithm for automatic ear recognition

Examples

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Embodiment Construction

[0022] Figure 1 shows the anatomy of the human ear, where 101 indicates the helix, 102 the earlobe, 103 the antihelix, and so on.

[0023] Figure 2 shows the segmentation of a human ear according to the Iannarelli method for ear recognition. Numeral designations indicate the locations of anthropometric measurements used in the methods. Typically, four axes extending in eight different directions are used, and 2-4 features (ie, 2-4 pixel values) are used for each axis to determine the shape of the ear. For example, for an axis extending east-west, three measurements are taken.

[0024] Figure 3 illustrates a prior art system for verifying an individuals identity (ie, verification / authentication of the individual) using biometric data associated with the individual. The system comprises a user device 301 arranged with a sensor 302 for deriving a first biometric template X from the configuration 303 of a specific body feature of the individual, in this case the ear. The user e...

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Abstract

The present invention relates to a method and a system of recognizing an ear by locating an invariant point in a representation X of ear geometry. An idea of the present invention is the improve the well known Iannarelli algorithm in that the scheme of the present invention captures and processes all pixels values along an axis and may use an arbitrary number of axes to combine these pixel values to a complete feature vector with a sufficient level of discrimination. The prior art Iannarelli method is improved by performing a Fourier transformation of a polar representation e[theta, rho], and construct converting polar converting e[theta, rho]. The converted representation is sampling to construct ear characteristic vector X.

Description

technical field [0001] The present invention relates to methods and systems for identifying ears by locating invariant points in a representation of ear geometry. Background technique [0002] Verification of physical objects can be used in many applications, such as for securing conditional entry to buildings or conditional access to digital data (such as stored in a computer or removable storage medium), or for Identification purposes (e.g. to make the identified individual responsible for a specific activity). [0003] The use of biometrics for identification and / or authentication is increasingly considered a better alternative to traditional means of identification such as passwords and PINs. As the number of systems requiring authentication in the form of passwords / PINs is steadily increasing, so is the number of passwords / PINs that users of the systems must remember. As a further consequence, since passwords / PINs are difficult to remember, users write them down, whic...

Claims

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Application Information

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IPC IPC(8): G06K9/52
CPCG06K9/00362G06K9/522G07C9/00158G06K9/00885G07C9/37G06V40/10G06V10/431G06T7/40G06V10/42
Inventor 安东尼乌斯·A.·C.·M.·卡克尔安东尼乌斯·H.·M.·阿克曼斯
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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