Iris Recognition Non-Frontal View Normalization
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Solution Overview
Problem
Existing iris recognition-based biometric devices require strict conditions for iris image capture, such as a clear, straight-on view, and are limited to stationary subjects near the device, making them inflexible and inconvenient for various applications.
Innovation Solution
The iris processor system, comprising a pre-processor, coding processor, and matching processor, captures and processes iris images using infrared or RGB inputs, normalizes and aligns them for non-frontal views, and encodes iris information for robust matching, allowing for flexible capture scenarios and remote authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If strict requirements are imposed on iris image capture (clear straight-on view, stationary subject near device), then iris recognition accuracy is improved, but device flexibility and ease of operation deteriorate
Solution Approach 1:
The system changes the capture parameters by allowing non-frontal viewing angles and greater subject-device distances. The pre-processor then adjusts image parameters (normalization, alignment, distortion correction) to compensate for these parameter changes, enabling accurate recognition without strict positioning requirements
Solution Approach 2:
The pre-processor acts as an intermediary between the captured iris image and the recognition algorithm. It performs normalization and alignment operations to transform non-ideal captures into standardized formats, bridging the gap between flexible capture conditions and accurate recognition requirements
2Manufacturing precision
If strict positioning requirements are enforced, then iris image quality is improved, but adaptability to different environments deteriorates
Solution Approach 1:
The system transitions from static, fixed positioning requirements to dynamic capture conditions. Subjects can be stationary or moving, and can be positioned at various distances and angles. The pre-processor dynamically adjusts processing parameters based on the captured image characteristics to maintain quality across diverse environments
Solution Approach 2:
The system achieves universality by handling multiple capture scenarios (frontal and non-frontal views, close-range and remote captures, stationary and moving subjects) with a single integrated solution. The pre-processor normalizes all these different scenarios into a unified processing pipeline
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate iris recognition and authentication in diverse environments, including mobile and dynamic settings, enhancing security and access control without the need for strict positioning or alignment.
Implementation Method 1
an infrared illuminator, the operation of the motor, and the capture of the iris reflection by the imager in synchronised fashion
Data Source
AI summary
An iris biometric recognition module includes technology for capturing images of an iris of an eye of a person, whether the person is moving or stationary. The iris biometric recognition technology can perform an iris matching procedure for, e.g., authentication or identity purposes, by comparing a digital iris image to a reference iris image and, if the digital and reference iris images match, transition an object from a locked to an unlocked state to allow access to the object.