Devices, methods and systems for biometric user recognition utilizing neural networks
A user identification system includes an image recognition network to analyze image data and generate shape data based on the image data. The system also includes a generalist network to analyze the shape data and generate general category data based on the shape data. The system further includes a specialist network to compare the general category data with a characteristic to generate narrow category data. Moreover, the system includes a classifier layer including a plurality of nodes to represent a classification decision based on the narrow category data.
1. A method of identifying a user of a system, comprising:
analyzing image data;
generating shape data based on the image data;
analyzing the shape data;
generating general category data based on the shape data;
generating narrow category data by comparing the general category data with a characteristic; and
generating a classification decision based on the narrow category data,
wherein the characteristic is from a known potentially confusing mismatched individual.
2. The method of claim 1 , further comprising identifying an error in a piece of data.
3. The method of claim 2 , further comprising suppressing the piece of data in which the error is identified.
4. The method of claim 1 , wherein analyzing the image data comprises scanning a plurality of pixel of the image data.
5. The method of claim 1 , wherein the image data corresponds to an eye of the user.
6. The method of claim 1 , further comprising generating a network of characteristics, wherein each respective characteristic of the network is associated with a potentially confusing mismatched individual in a database.
7. The method of claim 6 , wherein the network of characteristics is generated when the system is first calibrated for the user.
8. A method of identifying a user of a system, comprising:
analyzing image data;
generating shape data based on the image data;
analyzing the shape data;
generating general category data based on the shape data;
generating narrow category data by comparing the general category data with a characteristic; and
generating a classification decision based on the narrow category data,
wherein the characteristic is selected from the group consisting of eyebrow shape and eye shape.
9. A method of identifying a user of a system, comprising:
analyzing image data;
generating shape data based on the image data;
analyzing the shape data;
generating general category data based on the shape data;
generating narrow category data by comparing the general category data with a characteristic; and
generating a classification decision based on the narrow category data,
further comprising tracking the user's eye movements over time.
10. The method of claim 9 , further comprising modifying the general category data based on the eye movements of the user.
11. The method of claim 9 , further comprising modifying the general category data to conform to a variance resulting from the eye movements of the user.