Finger Palm-Print Image Processing Region Detection
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Solution Overview
Problem
Existing biometric authentication technologies, such as those described in Patent Literature 1, face issues where unsuitable areas are included in palm-print images due to photography conditions and individual body characteristics, leading to ineffective extraction of images suitable for authentication.
Innovation Solution
A finger/palm-print image processing apparatus and method that converts images into sets of elements with distinct color information criteria, detecting regions with a sufficient number of elements satisfying a predetermined criterion for accurate comparison.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If areas used in authentication are determined in advance from palm image data, then the authentication process is simplified and faster, but unsuitable areas may be included in the extracted palm-print images depending on photography conditions and individual body characteristics
Solution Approach 1:
The patent applies preliminary action by performing region suitability evaluation before final authentication. The system pre-processes the palm image to identify and evaluate candidate regions, assessing their suitability for authentication in advance. This allows the system to select only appropriate regions for comparison, ensuring reliability while maintaining efficient processing.
2Measurement precision
If the entire palm image is used for authentication, then more feature information is available for comparison, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies segmentation by dividing the palm image into multiple candidate regions and evaluating each region's suitability separately. Instead of processing the entire image uniformly, the system segments the image, assesses each segment's quality and relevance, and selects only the suitable regions for authentication. This reduces processing time while maintaining accuracy by focusing computational resources on relevant areas.
Solution Approach 2:
The patent applies local quality by evaluating different regions of the palm image with different criteria and selecting regions that meet specific quality standards for authentication. The system assigns different weights or suitability scores to different areas based on their characteristics, ensuring that only high-quality regions are used for comparison, thereby improving accuracy without requiring full-image processing.
3Ease of manufacture
If regions with insufficient color information are included in the extracted image, then the extraction process is simpler, but the comparison accuracy deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing color information quality as a selection criterion for region extraction. The system evaluates candidate regions based on parameters such as color variation, contrast, and information density, and selects regions that meet predetermined thresholds. This ensures that only regions with sufficient discriminatory information are extracted and used for authentication, improving comparison accuracy while maintaining a relatively simple extraction process.
Data Source
AI summary
A finger/palm-print image processing apparatus comprises: an image converting means that converts finger/palm-print images to conversion images consisting of first and second sets of elements; and an area detecting means that detects, from the conversion images as converted by the image converting means, an area where the number of the first set of elements is equal to or greater than a predetermined number. The first and second sets of elements herein are the elements of sets each of which consists of elements of the finger/palm-print images. The first set of elements have those degrees of change in color information which meet a predetermined criterion, while the second set of elements have those degrees of change in color information which do not meet the predetermined criterion.