Biometric identification technology is currently the most convenient and safe identification technology. It identifies the inherent characteristics of the human body and does not require other identifiers outside the body. With the development of modern science and technology, these new identification methods continue to enter people’s daily lives. While bringing convenience and safety, they also bring impact and thinking on traditional physical identification methods. Compare the feature recognition technology and make a superficial analysis.
By analyzing the characteristics of fingerprints, such as ridges, valleys and end points, bifurcation points or divergence points, the characteristic values ​​are extracted, and the identity of the person can be confirmed through the comparison of the fingerprint characteristic values. Fingerprint recognition technology is currently the most widely used and cheapest biometric recognition technology. It is a contact recognition technology, and the collection is relatively stable, but the fingerprint collection head is often easily damaged, especially in the scene of a large number of users , Maybe you have to replace the fingerprint capture head every few months. According to incomplete statistics, about 5% of people cannot use fingerprint recognition due to wear or shallow fingerprints. Therefore, this greatly restricts the application areas of fingerprint recognition.
IrisIris, a fabric-like ring of various colors in the pupil of the eye, each iris contains a unique structure based on features such as crown, lens, filaments, spots, structure, pits, rays, wrinkles and stripes. Iris recognition technology is based on the comparison of these characteristics to determine a person’s identity. Theoretically speaking, the accuracy of iris recognition is high, but iris recognition requires a high-resolution camera and suitable optical conditions, and the cost is relatively high. . Therefore, its application is mainly concentrated in the high-end market, and the market application is relatively narrow.
Face recognitionIn real life, the recognition between people is not achieved through fingerprints, palm prints, iris, etc., but through recognition of human faces (human faces). Therefore, among the many biometric recognition technologies, face recognition technology is the most attractive, it is the most intuitive, the most natural, and conforms to the laws of human cognition. It has the following characteristics:
Non-contact, high user acceptance. Face recognition technology uses a camera as an acquisition device for identification information, automatically acquires the face in a non-contact manner, and completes the face recognition process.
Intuitiveness is outstanding. The basis used by the face recognition technology is the facial image of a person, and the face is undoubtedly the most intuitive information source that can be discriminated by the naked eye, and "judge a person by appearance" conforms to the law of human cognition. At the same time, it is convenient for later manual confirmation, and has obvious advantages such as reuse.
The recognition speed is fast, and it is not easy to be noticed. Compared with other biometric technologies, face recognition is an automatic recognition technology, which can be recognized several times within one second. The feature of being undetected is also very important to the identification method, which makes the identification method not objectionable, and it is not easy to be deceived because it is not easy to attract people's attention.
Not easy to counterfeit. Face recognition technology requires that the recognition object must be at the recognition site in person, and others cannot fake it. The unique active discrimination ability of face recognition technology ensures that others cannot deceive the recognition system with inactive photos, puppets, wax figures or even human heads.
Wide application areas. In addition to all current application areas of fingerprint recognition, face recognition can also be applied to various face video surveillance alarm systems, face detection of digital cameras, and future robots, which has broad market application prospects.
In addition, face recognition has the dual advantage of being natural and imperceptible. Naturalness means that the recognition method is the same as the biological characteristics used by humans (or even other creatures) for individual recognition. Humans also distinguish and confirm a person by observing and comparing faces. In addition, natural recognition includes voice recognition, body shape recognition, etc., while fingerprint recognition and iris recognition are not natural, because humans or other creatures do not distinguish individuals through such biological characteristics. The characteristic of being undetected is also very important for an identification method, which makes the identification method not objectionable and is not easy to be deceived because it is not easy to attract people's attention. Face recognition has this feature. It completely uses visible light to obtain facial image information. Unlike fingerprint recognition or iris recognition, it needs to use an electronic pressure sensor to collect fingerprints, or use infrared to collect iris images. These special collection methods are easy Being noticed by others, it is possible to be deceived by disguise.
Speech RecognitionSpeech recognition is a kind of behavior characteristic recognition technology. The sound recognition equipment continuously measures and records the waveform and changes of speech. The voice recognition is based on accurately matching the voice collected on site with the registered voice template. Voice recognition is also a non-contact recognition technology that users can accept naturally, but the stability of voice recognition is poor and it is easy to be deceived. Therefore, it has not yet entered the practical stage.
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