Abstract: A system for identifying hyperpigmented spots in skin. The system includes an image capture device for capturing an image of a subject and a computer for analyzing the image. The computer stores logic that, when executed by the processor, causes the computer to receive the image of the subject, receive a baseline image of the subject, identify a hyperpigmented spot in the image of the subject, and annotate the image of the subject to distinguish the hyperpigmented spot in the image. The logic may also cause the system to classify the hyperpigmented spot into a predetermined class, determine a product for treating the hyperpigmented spot according to the predetermined class, and provide information related to the product for use by the subject.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: The present invention is directed to a method of determining vein patterns from a color image for personal identification, the method comprising forming a counterpart of the color image by applying a functional relationship obtained from optimization on the color image, wherein the counterpart of the color image comprises the vein patterns. An apparatus for determining vein patterns from a color image is also disclosed.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: Method and apparatus for image generation from biometric data is disclosed herein. In a described embodiment, the biometric data is in the form of IrisCode and the method comprises constructing a graph of filter responses and bits which define the biometric data; comparing the bits with corresponding bits of reference graphs of a trained database to obtain an optimal graph; updating the filter responses based on the optimal graph; and decompressing the IrisCode based on the updated filter responses to generate an image. The image may be a reconstruction of an original image which is defined by the IrisCode.

Abstract: The present invention is directed to a method of determining vein patterns from a colour image for personal identification, the method comprising forming a counterpart of the colour image by applying a functional relationship obtained from optimization on the colour image, wherein the counterpart of the colour image comprises the vein patterns. An apparatus for determining vein patterns from a colour image is also disclosed.

Abstract: Embodiments include methods, devices, software, and systems for identifying a person based on relatively permanent pigmented or vascular skin mark (RPPVSM) patterns in images. Locations of RPPVSMs in different images of people are point matched, and a correspondence probability that the point matched RPPVSMs are from different people is calculated. Other embodiments are also described. Other embodiments are also described and claimed.

Abstract: Method and apparatus for image generation from biometric data is disclosed herein. In a described embodiment, the biometric data is in the form of IrisCode and the method comprises constructing a graph of filter responses and bits which define the biometric data at 410; comparing the bits with corresponding bits of reference graphs of a trained database to obtain an optimal graph at 420,430; updating the filter responses based on the optimal graph at 440; and decompressing the IrisCode based on the updated filter responses to generate an image. The image may be a reconstruction of an original image which is defined by the IrisCode.

Abstract: A method of biometrics identification includes obtaining an image including a portion of a hand of an individual, analyzing the image to find one or more feature parameters defining different characteristics of the hand, and comparing the feature parameters with reference information in a database. The features parameters including a geometrical features parameter, a palm line features parameter or a palm texture features parameter.

Abstract: A method of biometrics identification includes obtaining an image including a portion of a hand of an individual, analyzing the image to find one or more feature parameters defining different characteristics of the hand, and comparing the feature parameters with reference information in a database. The features parameters including a geometrical features parameter, a palm line features parameter or a palm texture features parameter.