In this work, we introduce a method of fingerprint directional image partitioning based on GA. According to the fingerprint topology, A set of dynamic partition masks and a cost estimating function are designed to gui...In this work, we introduce a method of fingerprint directional image partitioning based on GA. According to the fingerprint topology, A set of dynamic partition masks and a cost estimating function are designed to guide the partitioning procedure. Finding best fitted mask application is converted to an functional optimizing problem, and we give out a GA solution to the problem. At last, we discuss the application of the proposed method in Fingerprint Classification.展开更多
This paper presents a new kind of image retrieval system which obtains the feature vectors of images by estimating their fractal dimension; and at the same time establishes a tree structure image database. After prep...This paper presents a new kind of image retrieval system which obtains the feature vectors of images by estimating their fractal dimension; and at the same time establishes a tree structure image database. After preprocessing and feature extracting, a given image is matched with the standard images in the image database using a hierarchical method of image indexing.展开更多
The biggest problem facing the world is information security in the digital era.Information protection and integrity are hot topics at all times,so many techniques have been introduced to transmit and store data secur...The biggest problem facing the world is information security in the digital era.Information protection and integrity are hot topics at all times,so many techniques have been introduced to transmit and store data securely.The increase in computing power is increasing the number of security breaches and attacks at a higher rate than before on average.Thus,a number of existing security systems are at risk of hacking.This paper proposes an encryption technique called Partial Deep-Learning Encryption Technique(PD-LET)to achieve data security.PD-LET includes several stages for encoding and decoding digital data.Data preprocessing,convolution layer of standard deep learning algorithm,zigzag transformation,image partitioning,and encryption key are the main stages of PD-LET.Initially,the proposed technique converts digital data into the corresponding matrix and then applies encryption stages to it.The implementation of encrypting stages is frequently changed.This collaboration between deep learning and zigzag transformation techniques provides the best output result and transfers the original data into a completely undefined image which makes the proposed technique efficient and secure via data encryption.Moreover,its implementation phases are continuously changed during the encryption phase,which makes the data encryption technique more immune to some future attacks because breaking this technique needs to know all the information about the encryption technique.The security analysis of the obtained results shows that it is computationally impractical to break the proposed technique due to the large size and diversity of keys and PD-LET has achieved a reliable security system.展开更多
文摘In this work, we introduce a method of fingerprint directional image partitioning based on GA. According to the fingerprint topology, A set of dynamic partition masks and a cost estimating function are designed to guide the partitioning procedure. Finding best fitted mask application is converted to an functional optimizing problem, and we give out a GA solution to the problem. At last, we discuss the application of the proposed method in Fingerprint Classification.
文摘This paper presents a new kind of image retrieval system which obtains the feature vectors of images by estimating their fractal dimension; and at the same time establishes a tree structure image database. After preprocessing and feature extracting, a given image is matched with the standard images in the image database using a hierarchical method of image indexing.
文摘The biggest problem facing the world is information security in the digital era.Information protection and integrity are hot topics at all times,so many techniques have been introduced to transmit and store data securely.The increase in computing power is increasing the number of security breaches and attacks at a higher rate than before on average.Thus,a number of existing security systems are at risk of hacking.This paper proposes an encryption technique called Partial Deep-Learning Encryption Technique(PD-LET)to achieve data security.PD-LET includes several stages for encoding and decoding digital data.Data preprocessing,convolution layer of standard deep learning algorithm,zigzag transformation,image partitioning,and encryption key are the main stages of PD-LET.Initially,the proposed technique converts digital data into the corresponding matrix and then applies encryption stages to it.The implementation of encrypting stages is frequently changed.This collaboration between deep learning and zigzag transformation techniques provides the best output result and transfers the original data into a completely undefined image which makes the proposed technique efficient and secure via data encryption.Moreover,its implementation phases are continuously changed during the encryption phase,which makes the data encryption technique more immune to some future attacks because breaking this technique needs to know all the information about the encryption technique.The security analysis of the obtained results shows that it is computationally impractical to break the proposed technique due to the large size and diversity of keys and PD-LET has achieved a reliable security system.
