Finger Crease Biometric Authentication Using Standard Camera Imaging
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Solution Overview
Problem
Portable terminals face challenges in implementing biometric recognition due to the high cost of specialized sensors and the limitations of existing camera-based systems, which are inconvenient and prone to false positives, especially in 3D scene navigation and on small devices.
Innovation Solution
A method and apparatus using a low-cost imaging sensor, such as a camera, to capture and process images of a user's finger, localize and identify creases, and compare them with stored images for authentication, allowing for gesture recognition and motion control with four degrees of freedom.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If specialized sensors are used for biometric recognition, then measurement precision and reliability are improved, but device cost and complexity increase significantly
Solution Approach 1:
The patent uses a standard camera to capture images of finger creases, creating a visual copy of the biometric feature instead of using specialized sensors. This copying approach allows biometric recognition to be performed with common, low-cost components while maintaining sufficient accuracy for authentication purposes
Solution Approach 2:
The invention replaces expensive, specialized biometric sensors with inexpensive standard camera components that are already present in most portable devices. This substitution dramatically reduces device cost and complexity while enabling biometric functionality through software-based crease analysis
2Device complexity
If camera-based gesture recognition is implemented, then device cost is reduced, but measurement precision and reliability deteriorate due to false positives
Solution Approach 1:
Instead of attempting to recognize entire hand gestures or finger identities, the system focuses specifically on detecting crease patterns in localized regions of the finger. This localized approach to quality assessment improves reliability by concentrating computational resources on distinctive, identifiable features rather than attempting comprehensive gesture recognition
Solution Approach 2:
The patent employs image processing techniques that analyze variations in grayscale intensity and contrast within the captured finger images to identify crease patterns. By transforming the visual data into enhanced contrast representations, the system can reliably distinguish creases from background variations and reduce false positives
3Reliability
If finger identification is performed to improve authentication accuracy, then biometric reliability is improved, but user operation convenience deteriorates due to difficulty in locating and presenting the correct finger
Solution Approach 1:
The system extracts and analyzes only the essential crease pattern information from the finger image, rather than requiring full finger identification or matching against comprehensive databases. This extraction of key distinguishing features maintains authentication reliability while simplifying the user interaction to merely presenting any finger with visible creases
Data Source
AI summary
An apparatus and method for detecting a finger are provided. The method includes capturing an image of a finger, generating a likelihood image of the finger from the captured image, localizing the finger within the likelihood image, determining a boundary of the finger, determining a location of one or more creases of the finger, and comparing the determined location of the one or more creases with crease locations of a finger image stored in a database.