Single Sensor Iris and Scene Image Acquisition
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Solution Overview
Problem
Existing biometric systems require multiple sensors to acquire optimal images for face and iris recognition, leading to increased cost and system size, while existing solutions do not optimize image acquisition for both types simultaneously.
Innovation Solution
A single sensor system that captures both iris and scene imagery using noise reduction techniques and filter configurations to manage noise and illumination differences, allowing for high-quality image acquisition with reduced physical size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to acquire optimal images for face and iris recognition, then image quality for both biometric types is improved, but system cost and size increase
Solution Approach 1:
The patent combines face and iris image acquisition into a single sensor system. The sensor captures both types of imagery simultaneously, eliminating the need for separate sensors. This merging approach maintains image quality for both biometric types while reducing system size and cost, directly resolving the technical contradiction between measurement precision and device complexity.
Solution Approach 2:
The single sensor is designed to perform multiple functions: capturing both face imagery and iris imagery. By making the sensor universal, the system eliminates the need for specialized sensors for each biometric type, thereby reducing system complexity while maintaining the measurement precision required for both face and iris recognition.
2Device complexity
If a single sensor is used to capture both iris and scene imagery, then system size and cost are reduced, but image quality for both types may deteriorate due to noise and illumination differences
Solution Approach 1:
The patent applies different processing approaches to different regions of the captured image. Noise reduction techniques are selectively applied to the iris region while preserving scene quality. This local quality approach ensures that each type of imagery receives optimized processing, maintaining measurement precision for both iris and scene images despite using a single sensor.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the type of imagery being analyzed. Different noise reduction levels and illumination compensation techniques are applied depending on whether the focus is on iris or scene capture. This parameter adjustment maintains image quality for both types while using a single sensor system.
Data Source
AI summary
The present disclosure is directed towards methods and systems for capturing images of an iris and a scene using a single image sensor. An image sensor may capture a view of a scene and a view of an iris in at least one image. An image processing module may apply a level of noise reduction to a first portion of the at least one image to produce an image of the scene. The image processing module may apply a reduced level of noise reduction to a second portion of the at least one image to produce an image of the iris for use in biometric identification.