Palm Region Detection in YUV Biometric Images
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Solution Overview
Problem
Biometric authentication in YUV format often results in erroneous detection of the palm region due to nonlinear changes in U and V signals with luminance, leading to inclusion of background as a palm region, which deteriorates authentication accuracy.
Innovation Solution
The solution involves approximating the upper and lower limits of the palm region using polynomial expressions for U and V components in the YUV space, allowing for accurate detection by defining specific ranges for each pixel, thereby reducing erroneous detection and improving authentication accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a threshold method is used to detect palm region in YUV space, then the detection process is simple and fast, but erroneous detection occurs due to nonlinear changes in U and V signals with luminance
Solution Approach 1:
The patent transforms the fixed threshold method into a dynamic range-based method by changing the parameter representation from constant thresholds to luminance-dependent upper and lower limit ranges. The determination unit calculates dynamic ranges for U and V components based on Y value, allowing accurate palm region detection across varying luminance conditions while maintaining processing efficiency.
2Measurement precision
If YUV to HSV format conversion is performed to improve palm region detection accuracy, then detection accuracy improves, but processing complexity and computational cost increase
Solution Approach 1:
The patent extracts only the necessary components for palm region detection from the YUV format without performing full HSV conversion. By selectively using Y, U, and V components with luminance-dependent range determination, the system achieves accurate detection while avoiding the computational overhead of complete format transformation.
Solution Approach 2:
The patent uses a computationally inexpensive luminance-dependent range calculation method instead of expensive HSV conversion. The dynamic range determination based on Y value provides sufficient accuracy for palm region detection without requiring the full mathematical transformation to HSV color space, reducing processing complexity.
Data Source
AI summary
A biometric image processing apparatus including a memory and a processor coupled to the memory. The processor obtains a Y value, a U value and a V value in a YUV space from each pixel of an image, determines, for each pixel, whether or not the U value and the V value are in a range that is in accordance with the Y value, and extracts a pixel having been determined to be in the range.