Palm Biometric Authentication Using Digital Image Alignment
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Solution Overview
Problem
Existing palm print biometric capture devices are large, cumbersome, expensive, and not portable, making them inconvenient and inaccessible to the general public, especially for physically handicapped individuals, as they require precise palm placement and are typically located at law enforcement agencies.
Innovation Solution
A method and system for authenticating users using palm biometric data captured with readily available devices, involving image processing to determine a region of interest, calculating transformation parameters for alignment with enrollment data, and extracting biometric features for verification, allowing for flexible and portable biometric authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-quality optical palm print capture devices are used, then measurement precision is improved, but device complexity and portability deteriorate
Solution Approach 1:
The patent uses digital images captured by standard cameras instead of specialized optical capture devices. The system captures palm images using readily available camera devices and processes these digital copies to extract biometric features, eliminating the need for complex optical instruments while maintaining authentication accuracy
Solution Approach 2:
The patent replaces mechanical optical capture systems with digital image processing. Instead of using physical platen and optical instruments for palm printing, the system uses digital cameras and computational algorithms to capture and process palm biometric data, substituting mechanical complexity with software-based solutions
2Manufacturing precision
If fixed-distance optical instruments are used, then manufacturing precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements dynamic image processing that adapts to varying palm positions and orientations. The system automatically determines the region of interest and calculates transformation parameters to align images regardless of how the palm is positioned during capture, eliminating the need for fixed placement while maintaining processing accuracy
Solution Approach 2:
The patent changes the processing parameters dynamically based on the captured image characteristics. The system determines transformation parameters and region of interest based on the actual palm image content, allowing flexible handling of different palm positions, sizes, and orientations without requiring precise fixed placement
3Measurement precision
If specialized palm print capture devices are used, then measurement precision is improved, but adaptability deteriorates
Solution Approach 1:
The patent creates a universal authentication system that works with standard camera devices instead of requiring specialized equipment. The system can be implemented on mobile phones and ordinary digital cameras, making it accessible to the general public while maintaining the ability to process palm biometric data accurately
Solution Approach 2:
The patent uses readily available, low-cost camera devices instead of expensive specialized optical instruments. By leveraging standard camera technology that everyone possesses, the system becomes economically viable for widespread adoption while the computational processing maintains the necessary biometric processing capability
4Measurement precision
If platen-based palm capture devices are used, then measurement precision is improved, but ease of operation deteriorates for physically handicapped individuals
Solution Approach 1:
The patent extracts the essential biometric information from the palm using standard camera imaging instead of requiring contact with a platen. By removing the physical platen requirement and using digital capture, the system eliminates the barrier for physically handicapped individuals while still obtaining accurate palm biometric data through image processing
Data Source
AI summary
A method of authenticating users is provided that includes capturing biometric authentication data of a user and processing the captured biometric data into an image. Moreover, the method includes determining a region of interest of the image and a gray scale image from the image, determining an optimum transformation parameter set within the region of interest, and aligning the gray scale image with an enrollment gray scale image generated during enrollment of the user using results of the optimum transformation parameter set determination. Furthermore, the method includes extracting biometric feature data from the gray scale image and verifying an identity of the user with extracted biometric feature data included in a region of agreement.