The era of brushing hands is coming, analyze the principle and application of palmprint recognition technolog
Author: huifan Time: 2020-11-23
Palmprint recognition technology is a relatively new biometric recognition technology proposed in recent years. Palm print refers to the image of the palm from the end of the finger to the wrist. Many of these features can be used for identification: such as main lines, wrinkles, fine textures, ridge ends, bifurcation points, etc. Palmprint recognition technology is also a non-invasive recognition method, which is relatively easy for users to accept and does not require high collection equipment.
1. The principle of palmprint recognition technology
First, preprocess the collected palmprint training samples, and then perform feature extraction, and store the extracted palmprint features in the feature database for matching with the classified samples. The test sample classification stage is to send the obtained test sample to the classifier for classification after the same preprocessing and feature extraction steps as the training sample.
Both parts include the following three steps: palmprint image acquisition, preprocessing, and feature extraction
1. Palmprint image collection
The purpose of palmprint image acquisition is to use a certain digital device to convert palmprints into matrix data that can be processed by a computer. Generally, two-dimensional grayscale images are collected.
The purpose of preprocessing is to make the acquired palmprint image convenient for subsequent processing of the image, such as removing noise to make the image clearer, restoring degradation caused by input measurement or other factors, and normalizing the image .
3. Feature extraction
The pre-processed information data is often very large, so it is necessary to extract and select the features of the information data, that is, use a certain method to transform the data from the pattern space to the feature subspace. So that in the feature space, the data has a good ability to distinguish.
2. System composition
The palmprint recognition system is the same in structure as other biometric recognition systems. They are composed of two parts: the training sample entry stage and the test sample classification stage, as shown in Figure 1-3. The training sample entry stage can be described as follows: first preprocess the collected palmprint training samples, then perform feature extraction, and store the extracted palmprint features in the feature database for matching with the classified samples. The test sample classification stage is to send the obtained test sample to the classifier for classification after the same preprocessing and feature extraction steps as the training sample. Both parts include the following three steps: palmprint image acquisition, preprocessing and feature extraction, which will be introduced separately below.
Palmprint image collection: The purpose of palmprint image collection is to use a certain digital device to convert palmprints into matrix data that can be processed by a computer. Generally, two-dimensional grayscale images are collected.
Three, the advantages and disadvantages of palmprint recognition technology
Its main advantages are that the palm shape recognition system has dirt and scars that do not affect the measurement, and the hand can be easily placed in the correct position of the scanner, which is easy for users to accept.
1. Low rejection rate
2. Easy to use
Its main disadvantage is that the similarity of hands is not so easy to distinguish. Palm recognition technology cannot easily obtain rich data like fingerprints and iris scanning technology. Its reliability is slightly worse. In addition, users of palm recognition systems must be Direct contact with the equipment may cause hygiene problems.
1. Less reliable
2. The palm is in contact with the device, which is not hygienic
Four, application areas
Research has found that palmprint recognition can be applied to areas such as identity verification and identity recognition, such as time and attendance systems, personnel access management applications, public security applications (such as access control systems), banking and credit card applications, and e-commerce The application of personal identification, household registration, ID card management, access control to confidential information (including information access control in computer networks), etc.
Five, identify the problem
Related researchers said that the "palmprint recognition" technology error recognition rate is only 0.00008%. It is reported that each person's palmprint information is unique. Like fingerprint scanning technology, palmprint scanning can also rely on the "uniqueness" of each person's palm texture for identity authentication and device unlocking. The false recognition rate of this biometric technology is only 0.00008%, and the false rejection rate is only 0.01%.
With the rapid development of information technology and network technology, information security has shown unprecedented importance. With its unique stability, uniqueness and convenience, biometric technology has been used more and more widely. As an emerging biometric technology, palmprint recognition has attracted wide attention from domestic and foreign researchers due to its simple sampling, rich image information, high user acceptance, resistance to forgery, and low noise interference. However, due to the late start of palmprint recognition technology, it is still in the stage of learning and borrowing from other biometric recognition technologies.
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