Iris biometric feature hidden based on chaotic encryption

Author(s):  
Wenming Jiao ◽  
Heng Zhang ◽  
Qiyan Zang ◽  
Jian Zhang ◽  
Hongran Li
Author(s):  
Mohamed Yassine Haouam ◽  
Abdallah Meraoumia ◽  
Lakhdar Laimeche ◽  
Issam Bendib

2021 ◽  
Author(s):  
Ning Lin ◽  
Xiaoming Chen ◽  
Chunwei Xia ◽  
Jing Ye ◽  
Xiaowei Li
Keyword(s):  

2018 ◽  
Vol 8 (7) ◽  
pp. 1183 ◽  
Author(s):  
Carlos Villaseñor ◽  
Eric Gutierrez-Frias ◽  
Nancy Arana-Daniel ◽  
Alma Alanis ◽  
Carlos Lopez-Franco

Hyperspectral images (HI) collect information from across the electromagnetic spectrum, and they are an essential tool for identifying materials, recognizing processes and finding objects. However, the information on an HI could be sensitive and must to be protected. Although there are many encryption schemes for images and raw data, there are not specific schemes for HI. In this paper, we introduce the idea of crossed chaotic systems and we present an ad hoc parallel crossed chaotic encryption algorithm for HI, in which we take advantage of the multidimensionality nature of the HI. Consequently, we obtain a faster encryption algorithm and with a higher entropy result than others state of the art chaotic schemes.


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