Iris Recognition Eyelash Interference Removal
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Solution Overview
Problem
Fingerprint recognition technologies in mobile terminals are vulnerable to fake fingers and fingerprint films, compromising security, and are no longer sufficient to ensure information and property security.
Innovation Solution
A method for iris recognition that uses a terminal device with a processor, memory, and an iris recognition assembly to acquire iris images, remove interference from eyelashes using an eyelash image template, and perform iris recognition for improved accuracy and security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fingerprint recognition technology is used to improve mobile terminal security, then user convenience is improved, but security reliability deteriorates due to vulnerability to fake fingers and fingerprint films
Solution Approach 1:
The patent extracts and removes eyelash images from iris images to eliminate interference factors. By identifying eyelash regions and removing them from the iris image before recognition, the system eliminates the harmful effect of eyelashes on recognition accuracy, thereby improving reliability while maintaining the iris recognition process
Solution Approach 2:
The patent introduces an eyelash image template as an intermediary element to facilitate the removal process. The template serves as a reference model that mediates between the raw iris image and the cleaned recognition image, enabling accurate identification and removal of eyelash interference without compromising iris features
2Speed
If traditional iris recognition is performed without eyelash removal, then processing speed is maintained, but measurement precision deteriorates due to interference noise from eyelashes
Solution Approach 1:
The patent performs eyelash removal as a preliminary action before the actual iris recognition process. By preprocessing the iris image to remove eyelashes in advance, the system ensures that the recognition algorithm receives clean input data, thereby improving measurement precision without significantly impacting overall processing speed
Solution Approach 2:
The patent replaces manual or complex mechanical eyelash removal methods with image processing algorithms. By using computational techniques to identify and remove eyelash regions based on template matching, the system achieves precise eyelash removal efficiently, maintaining processing speed while improving recognition accuracy
Data Source
AI summary
A method for iris recognition performed by related products includes the following. An iris recognition assembly of the terminal device acquires a first iris image. Thereafter, a processor removes a target eyelash image from the first iris image according to an eyelash image template stored in a memory to obtain a second iris image, and utilizes the second iris image to carry out iris recognition.


