Cancelable biometrics is one of the possible solutions to security and privacy problems in
biometrics-based recognition systems. In this paper we propose the use of two classical …

Edge detection has many applications in engineering and medical field. Edge detection in
color images is getting the attention of the researchers due to the reason that color images …

Image authentication based on robust image hashing has been paid large attention by
researchers. However, most of the existing methods are unable to authenticate, if the image …

The gastric cancer risk prediction model used for large-scale gastric cancer screening and
individual risk stratification is an artificial intelligence tool that combines clinical diagnostic …

Cloud computing plays a vital role in healthcare as it can store a large amount of data known
as big data. In the current emerging era of computing technology, big data analysis and …

As a relatively new biometric modality, palmprint attracts much attention for its rich intrinsic
features and high commercial prospects. Most existing palmprint recognition methods only …

Asmultimedia data sharing increases, data security in mobile devices and its mechanism
can be seen as critical. Biometrics combines the physiological and behavioral qualities of an …

Face-based biometric recognition is widely used nowadays, where substantial face images
are commonly stored on third-party servers. Since the sensitive information of an individual …

We propose a hybrid grasshopper optimizer to reduce the size of the feature set in the
steganalysis process using information theory and other stochastic optimization techniques …

Most semantic segmentation models based on deep convolutional neural network (CNN)
typically require a large number of weight parameters, high hardware resources for storage …