Iris Recognition Device Using Segmented Low-Resolution Positioning
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Solution Overview
Problem
Iris recognition technology is vulnerable to interception of iris features during data transmission, compromising security.
Innovation Solution
The device generates multiple data sequences, uses a low-resolution positioning image to locate the iris, and encrypts the iris image based on calculated coordinates, ensuring secure transmission by compressing and encrypting the iris image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the iris image is transmitted in high resolution for accurate recognition, then the recognition precision is improved, but the image becomes vulnerable to interception during transmission
Solution Approach 1:
The patent segments the iris image processing into two distinct parts: a low-resolution positioning image for locating the iris and a high-resolution encrypted image for feature extraction. The positioning image is processed separately from the detailed iris image, allowing the high-resolution data to be encrypted while the positioning function remains efficient. This segmentation resolves the contradiction by enabling precise recognition through encrypted high-resolution transmission without exposing the full unencrypted image.
Solution Approach 2:
The patent applies preliminary action by first processing the positioning image to locate the iris before processing the detailed iris image. The system identifies the iris region in the low-resolution image, then uses this information to guide the extraction and encryption of the high-resolution iris image. This preliminary positioning step ensures that only necessary high-resolution data is transmitted and encrypted, maintaining both precision and security.
2Measurement precision
If the full-resolution iris image is captured and transmitted, then the image quality is improved, but the data transmission time and vulnerability increase
Solution Approach 1:
The patent divides image processing into segmentation stages: first processing a low-resolution positioning image to locate the iris, then extracting only the necessary high-resolution iris region. This avoids transmitting and processing unnecessary full-frame high-resolution data, reducing transmission time while maintaining image quality for the critical iris region.
Solution Approach 2:
The patent extracts only the essential high-resolution iris image data after positioning, rather than transmitting the entire high-resolution scene. By taking out only the necessary iris region for detailed processing and encrypting only this extracted portion, the system reduces overall data transmission time while preserving the required image quality for recognition.
3Measurement precision
If the iris image is processed in high resolution, then the feature extraction accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent segments computational tasks by resolution and function: low-resolution processing for positioning and high-resolution processing only for the extracted iris region. This segmentation avoids the computational complexity of processing entire high-resolution images while maintaining feature extraction accuracy for the critical iris area.
Solution Approach 2:
The patent performs preliminary action by locating the iris in a low-resolution image before extracting and processing the high-resolution iris region. This preliminary positioning step reduces computational complexity by identifying the region of interest first, so that computationally intensive high-resolution feature extraction is applied only to the necessary area rather than the entire image.
Data Source
AI summary
An iris image capturing device, an iris image recognition device and an iris image recognition method are provided. Multiple data sequences are captured, in which each data sequence includes an iris image. These data sequences are selected to be a positioning image or an image to be processed. The positioning image is for locating the iris, and the image to be processed is for generating a protected iris image according to where the iris is located in the positioning image.