Optics-Based Fingerprint Sensor with Nano-Optical Filters

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Solution Overview

Problem

Conventional optics-based fingerprint recognition methods have security limitations due to the ease of replicating fingerprints, leading to potential unauthorized access.

Innovation Solution

An optics-based fingerprint sensor is developed, incorporating a fingerprint pixel array and spectrum pixel array with nano-optical filters, which generates fingerprint image and spectrum information to differentiate between real and fake fingerprints through liveness detection.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional optics-based fingerprint recognition is used, then the authentication process is simple and fast, but the security level is low due to ease of fingerprint replication

Engineering Contradiction:
Improvesecurity levelVSAvoidsensor structure complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The sensor is divided into two distinct pixel types: fingerprint pixels for capturing ridge-valley patterns and spectrum pixels for analyzing spectral characteristics. This segmentation allows each pixel type to be optimized for its specific function, enabling both traditional fingerprint recognition and liveness detection without compromising overall system performance

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent adds a spectral dimension to traditional fingerprint imaging by incorporating spectrum pixels that detect light intensity across different wavelengths. This transforms the authentication process from two-dimensional spatial pattern recognition to three-dimensional analysis including spectral information, making it difficult for fake fingerprints to replicate

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Reliability

If spectrum pixels with nano-optical filters are added to detect spectral information, then liveness detection capability is improved, but manufacturing precision requirements increase

Engineering Contradiction:
Improveliveness detection accuracyVSAvoidfilter structure precision
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent utilizes natural spectral parameter differences between real and fake fingerprints across multiple wavelength bands. By detecting reflectance characteristics at different wavelengths rather than relying on precise physical filter specifications, the system achieves liveness detection through material property analysis rather than dimensional precision

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The nano-optical filter structure is designed to replicate natural spectral absorption characteristics of human fingerprint tissue. The filter copies the spectral signature that real fingerprints exhibit, allowing the sensor to compare captured spectra against this reference pattern to identify authentications

Inventive Principle:
Principle #26Copying

3Adaptability or versatility

If multiple pixel types are integrated in one sensor, then comprehensive fingerprint analysis is achieved, but device complexity increases

Engineering Contradiction:
Improveauthentication capabilityVSAvoidpixel array complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

Both fingerprint pixels and spectrum pixels share common structural components including the same photodiode design, color filter array, and signal processing pathways. This universal architecture allows a single sensor to perform multiple authentication functions without requiring entirely separate systems, reducing overall complexity despite enhanced capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enhances security by accurately distinguishing between genuine and fake fingerprints, improving the reliability of user authentication processes.

Implementation Method 1

a first photodiode, a first metal shield structure that is formed on the first photodiode and includes a first opening, a first color filter structure that is formed on the first metal shield structure and includes a second opening exposing the first opening, a second photodiode that is spaced apart from the first photodiode by a predetermined distance

Methodology Applied
Scientific EffectPhotoelectric Effect: Photoelectric Effect

Implementation Method 2

a first band limit filter structure that is formed on the nano-optical filter structure

Methodology Applied
Scientific EffectOptical Filtering: Filter (optical)

Data Source

PatentUS10643051B2Optics-based fingerprint sensor, electric device including optics-based fingerprint sensor, and operation method of electric device
Publication Date: 2020.05.05 SAMSUNG ELECTRONICS CO LTD
  • US10643051B2 patent drawing
  • US10643051B2 patent drawing
  • US10643051B2 patent drawing

AI summary

An optics-based fingerprint sensor may include a first photodiode, a first metal shield structure that is formed on the first photodiode and includes a first opening, a first color filter structure that is formed on the first metal shield structure and including a second opening exposing the first opening, a second photodiode that is spaced apart from the first photodiode by a predetermined distance, a first nano-optical filter structure that is formed on the second photodiode, and a first band limit filter structure that is formed on the nano-optical filter structure.