Palm Print Authentication Using Gradient Filters
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Solution Overview
Problem
Current biometric authentication systems face challenges in reliability, ease of use, and user acceptance, particularly with methods requiring invasive procedures like iris and retinal scans, which are complex and uncomfortable for users.
Innovation Solution
A biometric authentication system utilizing a camera and a two-dimensional gradient filter to capture and process digital images of palm prints, comparing spatial gradients to determine matches, offering a user-friendly and reliable method with low-cost hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If iris or retinal scans are used for biometric authentication, then reliability is improved, but ease of operation deteriorates due to complex positioning requirements and user discomfort
Solution Approach 1:
The patent changes the biometric parameter from internal body structures (iris, retina) to external surface texture (palm print). This allows using standard camera technology instead of specialized expensive equipment, simplifying the system while maintaining reliability through sophisticated image processing algorithms that analyze palm texture patterns.
Solution Approach 2:
The patent replaces complex optical-mechanical scanning systems (iris/retinal scanners) with a simple digital camera system. The mechanical complexity of positioning and scanning is substituted by capturing a standard digital image and processing it through software-based gradient analysis and pattern matching algorithms.
2Reliability
If invasive biometric methods like iris and retinal scans are implemented, then authentication reliability is improved, but user acceptance deteriorates due to discomfort and complexity
Solution Approach 1:
The patent creates a digital copy of the palm print texture and stores it in a database for future comparisons. This allows the system to authenticate users by comparing new palm images against stored templates, providing reliable authentication through pattern matching while maintaining user acceptance through a non-invasive process.
Solution Approach 2:
The patent performs preliminary capture and storage of the user's palm print during a registration phase. This preliminary action creates a reference template that enables rapid, reliable authentication in subsequent operations without requiring users to repeatedly undergo the capture process, improving both convenience and acceptance.
3Device complexity
If standard camera hardware is used for palm print capture, then device complexity and cost are reduced, but measurement precision may deteriorate compared to specialized biometric equipment
Solution Approach 1:
The patent extracts the essential authentication information (texture gradient patterns) from the palm print image by applying gradient filters. This extraction process isolates the critical features needed for identification while filtering out noise and irrelevant details, achieving high measurement precision using standard camera hardware.
Solution Approach 2:
The patent applies different processing techniques to different regions of the palm print image. Gradient filters are applied to enhance local texture features, and specific areas of the palm may be weighted differently during comparison. This localized processing compensates for variations in image quality and maintains precision across different capture conditions.
Data Source
AI summary
A biometric authentication system, including a database of digital images of biometrics of known people, a camera for capturing a digital image of a biometric of an unknown person, a two-dimensional gradient filter coupled with said database and said camera for deriving a spatial gradient of a digital image, and a match processor coupled with the two-dimensional gradient filter for processing two spatial gradients and determining the extent to which the unknown biometric corresponds with a known biometric. A method and a computer-readable storage medium are also described and claimed.