Finger Vein Identification Using Line Fitting and Normalization
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Solution Overview
Problem
Current finger vein identification techniques face challenges in extracting and matching vein characteristics efficiently, leading to lower maturity and precision compared to fingerprint identification.
Innovation Solution
A finger vein identification method and device that collects a finger vein image, employs a line fitting method to extract a region of interest, conducts geometric and grayscale normalization processing, and determines finger vein blood vessel lines to obtain a processed image for identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional vein characteristic extraction methods are used, then the identification process can be completed, but the extraction efficiency and matching precision are low
Solution Approach 1:
The patent segments the finger vein image processing into distinct stages: region of interest extraction using line fitting methods, geometric normalization, grayscale normalization, and vein characteristic extraction. This segmentation allows each stage to be optimized independently, improving both precision and efficiency of the overall process
Solution Approach 2:
The patent performs preliminary actions by conducting geometric and grayscale normalization before vein characteristic extraction. The line fitting method预先 extracts the region of interest, preparing the data in advance for more efficient and precise characteristic extraction in subsequent steps
2Reliability
If fingerprint identification is used, then high uniqueness and ease of use are achieved, but security factor is low due to external biometric nature
Solution Approach 1:
The patent extracts internal biometric information (vein patterns) from the finger, moving away from external biometric surfaces like fingerprints. By taking out and analyzing the internal vein structure through non-invasive imaging, the system achieves higher security while maintaining ease of operation
Solution Approach 2:
The patent creates a digital copy of the internal vein pattern through imaging and processing. This digital replica of the unique vein structure serves as the identification basis, providing both high security through internal biometric data and ease of operation through non-contact imaging
3Reliability
If vein identification is used, then high security factor is achieved, but identification maturity and precision are lower than fingerprint identification
Solution Approach 1:
The patent applies geometric normalization and grayscale normalization to transform the raw vein image parameters into standardized forms. These parameter changes enhance the consistency and quality of vein characteristics, thereby improving identification precision to match or exceed fingerprint identification levels
4Measurement precision
If line fitting method and normalization processing are applied, then vein characteristic extraction precision is improved, but processing complexity increases
Solution Approach 1:
The patent divides the complex image processing into modular segments: line fitting for ROI extraction, geometric normalization, grayscale normalization, and characteristic extraction. This modular segmentation manages complexity by making each step independent and manageable while maintaining high overall precision
Data Source
AI summary
A finger vein identification method and device used for effectively extracting finger vein identification characteristics to conduct finger vein identification. The method of the embodiments of the present teachings comprises: collecting a finger vein image, employing a line fitting method to extract a region of interest in the finger vein image, conducting geometric normalization and grayscale normalization processing of the region of interest to obtain a processed region, determining finger vein blood vessel lines in the processed region to obtain a finger vein blood vessel image, and conducting finger vein identification based on the finger vein blood vessel image.