Research On The Threshold Quantization Biohashing Algorithm Based On Fingerprint Characteristic Matrix

With the development and popularization of information technology,identity authentication is also widely used in various fields such as political,life,economy,culture and life,as one of the main technologies for achieving access control of information systems.How to accurately identify a person's identity information under the premise of ensuring security has become a key issue in the field of information security for further study.Identity authentication technology based on biometrics has become one of the research hotspots in the field of information security,because it is easy to collect and carry,has high stability and does not change easily.Traditional biometric identification system based template matching retains a large number of user's original biometric information in its template data.When a user's biometric data leaks or is lost,the attacker can easily verify the system by using the obtained information,and they can even restore user's original biometrics.Because the biometrics is immutable,once the template data is lost,the leakage of its biometrics will be permanent.The revocable biological template protection technology uses an irreversible function with adjustable parameters to transform the biometric data,and constructs a transformation function that not only has irreversible properties,but also maintains some measure of similarity after transformation.Even if the user's biometric template being leaked,a new template can be generated by modifying the transformation function,so it has better security and practicality.This paper mainly studies the fingerprint template protection algorithm based on Biohashing,this paper designed two Biohashing algorithms,the one based on step parameter,the other one based on sliding window.The details are as follows:1.For the problem that traditional Biohashing fingerprint template protection algorithm is less secure and recognizable,a Biohashing algorithm based on step size parameters is proposed.Firstly,the feature vector sequence is changed to the feature matrix in the requantization process.This way can reduce the correlation between feature values and increased the class spacing of fingerprints.We also introduce variable step parameters.By comparing the feature matrix row vectors,the traditional single threshold quantization is changed to multi-threshold.Theoretical and experimental analysis shows that improved algorithm not even ensures fingerprint template sensitive data,but also improves the security and recognition of the algorithm effectively.2.For the problem that when the user token is leaked,the recognition performance of the Biohashing fingerprint template protection algorithm will seriously degrade,a sliding window-based Biohashing algorithm is designed.The algorithm is improved in the threshold quantization and parameter selection of Biohashing algorithm.By using a combination of variable step size parameters and sliding window,the binary feature matrixis used to reduce the correlation between the feature values and the key space is increased.The multi-threshold and non-fixed sliding window quantization method makes the user BioCode more secure.Theoretical analysis and experimental results show that the improved algorithm has better security and recognition performance.