HAND-BASED GENDER CLASSIFICATION
First Claim
1. A method of classifying the gender of a hand having a plurality of hand parts, the method comprising:
- for each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of the plurality of hand parts, computing a set of feature parameters representing a geometry of the digitally-imaged hand part;
using the set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts, computing a similarity of the set of one or more digitally-imaged hand parts to each of i) a first model space corresponding to a male class, and ii) a second model space corresponding to a female class; and
using the computed similarities to classify the gender of the hand as belonging to the male class or the female class.
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Abstract
For each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of a plurality of hand parts, a set of feature parameters representing a geometry of the digitally-imaged hand part is computed. The set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts is/are used to compute distances of the set of digitally-imaged hand parts from each of i) a first eigenspace corresponding to a male class, and ii) a second eigenspace corresponding to a female class. The computed distances are used to classify the gender of a hand as belonging to the male class or the female class.
59 Citations
22 Claims
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1. A method of classifying the gender of a hand having a plurality of hand parts, the method comprising:
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for each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of the plurality of hand parts, computing a set of feature parameters representing a geometry of the digitally-imaged hand part; using the set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts, computing a similarity of the set of one or more digitally-imaged hand parts to each of i) a first model space corresponding to a male class, and ii) a second model space corresponding to a female class; and using the computed similarities to classify the gender of the hand as belonging to the male class or the female class. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computing environment for classifying the gender of a hand having a plurality of hand parts, comprising:
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at least one processing unit; at least one memory; and computer-executable instructions stored in the at least one memory, the computer-executable instructions, when executed by the at least one processing unit to, for each of at least one digitally-imaged hand part, where each of the at least one digitally-imaged hand part corresponds to one of the plurality of hand parts, compute a set of feature parameters representing a geometry of the digitally-imaged hand part; using the set(s) of feature parameters for a set of one or more of the digitally-imaged hand parts, compute distances of the set of digitally-imaged hand parts from each of i) a first eigenspace corresponding to a male class, and ii) a second eigenspace corresponding to a female class; and use the computed distances to classify the gender of the hand as belonging to the male class or the female class. - View Dependent Claims (18, 19, 20, 21, 22)
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Specification