Hough Space Image Block Detection for Biometrics Storage
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Solution Overview
Problem
The existing methods for biometrics authentication using Hough transformation face challenges in reducing the data capacity of Hough-transformed images, making them unsuitable for storage on mediums with limited capacity, such as IC cards, due to their larger data size.
Innovation Solution
An information processing apparatus and method that detects blocks in Hough space images and encodes them, reducing the data size by using binary conversion and block detection techniques to identify and encode specific patterns, thereby reducing the data capacity of Hough space images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Hough transformation is applied to biometrics images for improved authentication accuracy, then authentication accuracy is improved, but data capacity increases making storage on limited-capacity mediums difficult
Solution Approach 1:
The Hough space image is divided into multiple blocks, and only blocks containing significant features (those exceeding a threshold value) are encoded and stored. This segmentation approach allows the system to retain authentication accuracy while reducing overall data capacity by excluding redundant blocks.
Solution Approach 2:
The invention extracts only the essential feature blocks from the Hough space image that contain meaningful authentication information. By taking out and storing only these critical blocks rather than the entire image, the system maintains authentication accuracy while significantly reducing data capacity requirements.
2Productivity
If Hough-transformed images are stored on IC cards for improved authentication speed, then authentication processing speed is improved, but the limited capacity of IC cards cannot accommodate the large data size
Solution Approach 1:
The Hough space image is segmented into blocks, and only those containing significant features are selected for storage on IC cards. This reduces the total data capacity required while maintaining the authentication speed benefit of having pre-transformed features available.
Solution Approach 2:
Different blocks of the Hough space image are treated differently based on their content significance. Blocks with high feature importance are encoded and stored, while blocks with low importance are excluded, optimizing the balance between authentication speed and storage capacity.
3Quantity of substance
If block detection and encoding is applied to Hough space images, then data size is reduced for efficient storage, but processing complexity increases
Solution Approach 1:
The image processing is segmented into distinct steps: block division, threshold comparison, and selective encoding. This structured approach manages processing complexity by breaking down the overall task into simpler, more manageable operations.
Solution Approach 2:
The invention changes the parameter representation by converting significant blocks into encoded form (e.g., coordinate pairs or compressed representations) rather than storing full pixel data. This parameter transformation reduces data size while the systematic encoding process keeps processing complexity manageable.
Data Source
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AI summary
There is provided an information processing apparatus according to the present invention including a Hough transform unit executing the Hough transformation on a biometrics image which is image information unique to a living body, and a block detection unit detecting whether a block having a predetermine shape is included in a Hough space image which is a Hough-transformed biometrics image, outputting present position information representing a position at which the block is located in the Hough space image when the block is determined to be included in the Hough space image.