Robust Human Authentication Using Holistic Anthropometric and Appearance-Based Features and Boosting
First Claim
1. A robust human authentication system for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database comprising:
- a. feature extraction modules comprising;
1) an appearance-based feature extraction module configured for extracting appearance-based features from the face of the test image;
2) a holistic anthropometric feature extraction module configured for extracting holistic anthropometric features from the following elements from the test image;
a) head;
b) face;
c) neck; and
d) at least one shoulder;
b. feature selector modules comprising;
1) an appearance-based feature selector module configured for selecting the appearance-based features by using energy based cut-off criteria; and
2) a holistic anthropometric feature selector module configured for selecting the holistic anthropometric features that are predictive of the identification of the test image; and
c. at least one data fusion combiner module.
2 Assignments
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Accused Products
Abstract
A new robust human authentication system, device, and instructions, embeddable in a physical and tangible computer readable medium, for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database, are disclosed. This invention applies the concepts of appearance (PCA or PCA+LDA) and holistic anthropometrics that include head, face, neck, and shoulder linear and non-linear geometric measurements. The appearance (“eigen”) coefficients and holistic anthropometric measurements selected may be used as feature vectors. A boosting algorithm ranks features as “weak learners” and combines their outputs for “strong” recognition.
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Citations
20 Claims
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1. A robust human authentication system for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database comprising:
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a. feature extraction modules comprising; 1) an appearance-based feature extraction module configured for extracting appearance-based features from the face of the test image; 2) a holistic anthropometric feature extraction module configured for extracting holistic anthropometric features from the following elements from the test image; a) head; b) face; c) neck; and d) at least one shoulder; b. feature selector modules comprising; 1) an appearance-based feature selector module configured for selecting the appearance-based features by using energy based cut-off criteria; and 2) a holistic anthropometric feature selector module configured for selecting the holistic anthropometric features that are predictive of the identification of the test image; and c. at least one data fusion combiner module. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A robust human authentication device for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database comprising:
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a. feature extraction modules comprising; 1) an appearance-based feature extraction module configured for extracting appearance-based features from the face of the test image; 2) a holistic anthropometric feature extraction module configured for extracting holistic anthropometric features from the following elements from the test image; a) head; b) face; c) neck; and d) at least one shoulder; b. feature selector modules comprising; 1) an appearance-based feature selector module configured for selecting the appearance-based features by using energy based cut-off criteria; and 2) a holistic anthropometric feature selector module configured for selecting the holistic anthropometric features that are predictive of the identification of the test image; and c. at least one data fusion combiner module. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. A physical and tangible computer readable medium encoded with instructions for determining if at least one test image obtained using an imaging device matches at least one training image in an enrollment database, wherein execution of the instructions by one or more processors causes the one or more processors to perform the steps comprising:
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a. extracting 1) appearance-based features from the face of the test image; 2) holistic anthropometric features from the following elements from the test image; a) head; b) face; c) neck; and d) at least one shoulder; b. selecting 1) the appearance-based features by using energy based cut-off criteria; and 2) the holistic anthropometric features that are predictive of the identification of the test image by using a filter-based feature selection approach; and c. combining the appearance-based features with the holistic anthropometric features. - View Dependent Claims (18, 19, 20)
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Specification