Fingerprint recognition is a technology that relies on the fingerprint characteristics of the human body for identity verification, and is a type of biometric technology. The skin on our palms and the inner surface of our fingers is uneven, and the resulting patterns will form a variety of patterns. The existence of these patterns increases the friction of the skin surface, allowing us to grab heavy objects with our hands. At the same time, we also Note that the patterns of these skins, including fingerprints, are different in patterns, breakpoints, and intersections, that is, unique. Relying on this uniqueness, we can associate a person with his fingerprint, and compare his fingerprint with a pre-stored fingerprint to verify his true identity.
Development of fingerprint recognition technology
Before being used for mobile phone unlocking, fingerprint recognition technology has been used as the main method of identification by police departments in the United Kingdom, the United States, Germany and other countries. With the development of computers and information technology, the FBI and the Paris Police Department began research and development in the 1960s. Automatic Fingerprint Identification System (AFIS) is used for criminal case detection.
Before the 1990s, fingerprint identification technology was basically applied only in the field of criminal investigation, which met the special needs of national criminal investigation and court identification. Due to the large fingerprint database, high complexity of image signal processing, and high requirements for real-time performance, police AFIS systems have high hardware costs and high requirements for the operating environment. The costs of use and maintenance are also relatively high, which is not easy to increase. Its scale is popular, so it is mainly used in the fields of justice and criminal investigation.
With the continuous development and maturity of computer image processing and pattern recognition theory and large-scale integrated circuit technology, the automatic fingerprint recognition system has made a qualitative leap, the size has been reduced, the speed has increased, the cost of implementation and the requirements for the operating environment have gradually decreased, and fingerprint collection Both speed and convenience have been improved. All these make the practical application of fingerprint authentication technology a big step forward, and are widely used in government, banking, taxation, social security, school and company agencies and other departments of document confidentiality, information security, access control, attendance management and card management And other occasions that require a computer for automatic identity authentication.
Advantages and disadvantages of fingerprint recognition technology
1. Fastest recognition speed and most convenient application
2. Easy promotion, most widely used, strong adaptability
3.Low false positive rate and false rejection rate
4. Strong stability and reliability
5. Easy to operate and can be used without special training
6. Strong security, system scan is harmless to the body
7. Fingerprints are reproducible
8. Sustainable development
1. High environmental requirements, sensitive to humidity, cleanliness of fingers, etc. Dirty, oil, and water can cause unrecognizable or affect the recognition results;
2. Some people or certain groups have few fingerprint features or even no fingerprints, so it is difficult to image;
3. Difficulties in recognition and low recognition rate of low-quality fingerprints such as peeling and scars, as well as registration and recognition of some special groups such as manual workers with many calluses on their hands;
4. Every time the fingerprint is used, the user's fingerprint imprint will be left on the fingerprint collection head, and these fingerprint traces may be used to copy the fingerprint;
5. High requirements for operating specifications during fingerprint recognition