Iris Processor for Mobile Biometric Authentication
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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 by the need for stationary subjects close to the capture device, making them impractical for various applications.
Innovation Solution
The development of an iris processor that includes a pre-processor for segmenting and normalizing iris images, a coding processor for encoding iris information, and a matching processor for aligning and comparing iris codes, allowing for robust iris recognition even from non-frontal or low-quality images, and enabling authentication in mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If strict requirements are imposed on iris image capture process, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs preliminary actions by capturing multiple iris images in advance and selecting the best quality image before authentication. The pre-processor captures a plurality of iris images and selects an image with the best quality, ensuring high measurement precision while allowing the user to simply gaze at the device without strict positioning requirements.
Solution Approach 2:
The system dynamically adapts to different capture conditions by evaluating multiple captured images and selecting the optimal one. Rather than requiring static perfect conditions, the system dynamically processes varying quality images through the pre-processor, matching processor, and selector to achieve consistent authentication accuracy.
2Measurement precision
If the subject must be stationary and located very near to the capture device, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The system captures multiple iris images in advance under varying conditions and pre-processes them to identify the best quality image. This preliminary capture and selection process enables high measurement precision while allowing the subject to move or be at different distances, thereby increasing adaptability to various application scenarios.
Solution Approach 2:
The system changes parameters by evaluating multiple captured images with different qualities and selecting the optimal one. The pre-processor and selector adjust based on image quality parameters, allowing the system to maintain measurement precision across varying capture conditions and application scenarios.
3Reliability
If multiple iris images are captured and processed, then reliability is improved, but loss of time increases
Solution Approach 1:
The system performs preliminary capture of multiple iris images and pre-processing to identify the best quality image before actual authentication. This preliminary action ensures high reliability by selecting the optimal image in advance, while the efficient selection algorithm minimizes the time loss during processing.
Solution Approach 2:
The system skips unnecessary processing steps by directly selecting the best quality image from pre-captured images and proceeding with authentication. The selector efficiently identifies and processes only the optimal image, rushing through redundant operations to minimize time loss while maintaining high authentication reliability.
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, authenticating a person as authorized to access a first device and transmitting a wireless communication from the first device to a second device.