modality identification
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Author(s):  
Zhengkun Yi ◽  
Tiantian Xu ◽  
Wanfeng Shang ◽  
Xinyu Wu


Author(s):  
Kannan Balaraman

AbstractNaso-orbito-ethmoid (NOE) injuries constitute about 5% of facial fractures and most of them are as a result of road traffic accidents. Deformities in the region tend to be more cosmetically apparent. Considering the proximity of the area to critical structures like brain and eye, such injuries need to be thoroughly evaluated both clinically and radiologically to understand the extent of the injury as well as initiate emergency management if required prior to constituting a definitive treatment plan. CT scans are the most useful investigation modality. Identification and maintaining the attachment of Medial canthal ligament in appropriate position along with reducing / stabilizing the bony fracture is the key to getting good results in these fractures. Primary management of the deformity produces better results compared to secondary correction.



2020 ◽  
Vol 12 (2) ◽  
pp. 40-58
Author(s):  
Raouia Mokni ◽  
Hassen Drira ◽  
Monji Kherallah

The security of people requires a beefy guarantee in our society, particularly, with the spread of terrorism throughout the world. In this context, palmprint identification based on texture analysis is amongst the pattern recognition applications to recognize people. In this article, the researchers investigated a deep texture analysis for the palmprint texture pattern representation based on a fusion between several texture information extractions through multiple descriptors, such as HOG and Gabor Filters, Fractal dimensions and GLCM corresponding respectively to the frequency, model, and statistical methodologies-based texture features. They assessed the proposed deep texture analysis method as well as the applicability of the dimensionality reduction techniques and the correlation concept between the features-based fusion on the challenging PolyU, CASIA and IIT-Delhi Palmprint databases. The experimental results show that the fusion of different texture types using the correlation concept for palmprint modality identification leads to promising results.



2016 ◽  
Vol 76 (3) ◽  
pp. 4635-4650 ◽  
Author(s):  
Muhammad Khurram Shaikh ◽  
Ashref Lawgaly ◽  
Muhammad Atif Tahir ◽  
Ahmed Bouridane




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