Fingerprint Identification Technology Principles and Development Prospect Analysis
Stevia Rebaudioside A,which is a glycoside. Stevia RA,High Quality Stevia RA,Stevia RA Details, CN JINING USP INTERNATIONAL CO.,LTD. , https://www.uspintl.com
The fingerprint identification system mainly includes the following steps: fingerprint image acquisition, fingerprint image preprocessing, feature extraction, and fingerprint feature matching. Fingerprints are generally extracted through a fingerprint collector. Currently, there are three commonly used fingerprint acquisition devices: optical and silicon chips. Ultrasonic fingerprint collector.
1. Optical fingerprint collector Optical fingerprint collector is the earliest fingerprint collector, and it is the most commonly used at present. It has the following advantages:
The longest time to use, has been subject to the actual use of the test;
Good adaptability to environmental factors such as temperature;
The price is relatively low, the resolution is higher and can reach more than 500dpi.
At present, collectors that replace prisms and lens systems with grating lenses have also appeared, and photoelectrically converted CCD devices have also been replaced with CMOS imaging devices, thereby omitting the image acquisition card and directly obtaining digital images.
2. Silicon Fingerprint Collector The silicon chip fingerprint collector emerged in the late 1990s. Most of the silicon chips measure the DC capacitance field on the surface of the finger and the surface of the chip. This capacitance field becomes a grayscale digital image after A/D conversion. .
3, ultrasonic fingerprint collector Ultrasonic fingerprint collector may be the most accurate fingerprint collector, but is not mature at present, there is no large-scale application.
In the fingerprint identification system, the pretreatment of the fingerprint image is the basis for correct feature extraction and matching. The purpose of preprocessing is to use signal processing techniques to remove various noise disturbances in the image, turn it into a clear fingerprint image, and restore the fingerprint ridgeline structure so that the correct fingerprint features can be reliably extracted.
Fingerprint preprocessing generally includes such several processes:
First, the fingerprint image is normalized;
Second, the direction of fingerprint extraction;
Third, the grayscale image filtering is performed based on the directional pattern, and then binarization and refinement are performed.
The coordinates of the detailed features directly represent the fingerprint, so the quality of the feature extraction directly affects the subsequent fingerprint matching, so the feature extraction is one of the key parts of the fingerprint recognition system.
The general method of fingerprint recognition is to use a certain method to extract feature points in two images and match the feature points. This is a point pattern matching problem.
In the entire fingerprint recognition system, preprocessing and feature extraction are two key steps, which are directly related to the outcome.
The development prospects of fingerprint recognition technology believe that with the improvement of fingerprint recognition technology, it will be widely used in more fields such as motor vehicles and home appliances.
In the next five years, China will have nearly ten billion yuan in the market waiting for companies to open up. The huge market prospect of fingerprint identification technology will have a huge impact on the international and domestic security industry. Smaller companies will face the ruthless competition of the newly entered large companies in traditional industries. In front of these giants, it is difficult for existing small and medium-sized companies to say that they have too much competitiveness, the industry is inevitably reshuffled, and mergers and withdrawals may become the helpless choice of most small and medium-sized companies. Eventually the company or large capital that may form the traditional industry will dominate the biometrics industry in a relatively short period of time. Of course, it does not rule out that some companies with core competencies will grow into new big companies in the form of “fast fish eat slow fishâ€. "Big fish" and "fast fish" coexist, which is the inevitable result of every emerging market. The result of competition will form a new emerging industry.
The fingerprint recognition system product family relies on fingerprint recognition technology, without the use of traditional passwords or IC cards. Press and hold the finger to switch the control of the safe. Widely used in companies, homes, enterprises, institutions, banks, securities trading and other places to store information, documents, documents, jewelry and other confidential, valuables. The same fingerprint is turned on, which avoids the large number of key cabinets and complicated keys. Safe, convenient and stylish. The application of fingerprint identification products can greatly enhance the office quality. Although the market for fingerprint recognition products has not yet been fully popularized, the market has started and the development is very fast. According to the relevant information, China’s demand for this technology is gradually increasing. For example, in the Ministry of Industry and Commerce, a considerable part of this technology is used to support the market, with a market capacity of more than RMB 5 billion. The state has created conditions for market promotion from market cultivation, technology maturity, and research and development capabilities, and has made market preparations for its industrialization. Fingerprint recognition will surely enter the homes of ordinary people, and its market potential and market prospects are optimistic and broad.
Fingerprint recognition technology is a computer-based identification method and is the most widely used biometric identification technology today. In the past mainly used in criminal investigation systems. In recent years, it has gradually moved towards the civilian market. At the same time, the civilian market has also proposed a compact, low-cost fingerprint acquisition device for fingerprint identification technology, a high-speed computing platform, and higher recognition accuracy requirements to meet the needs of various applications.
The sweetness of rebaudioside A is the highest, 300 times higher than that of sucrose, and it has the best taste quality without any bad aftertaste. It is the most ideal natural sweetener.