Zobrazeno 1 - 10
of 12
pro vyhledávání: '"M. Hussain"'
Autor:
Natiq M. Abdali, Zahir M. Hussain
Publikováno v:
ITNAC
Due to the difficulty of obtaining a database of original images that are required in the classification process to detect tampering, this paper presents a technique for detecting image tampering such as image steganography in the spatial domain. The
Publikováno v:
Journal of Computer Science. 12:464-470
This work presents a new holistic measure for face recognition. Face recognition involves three steps: Face Detection, Feature Extraction and Matching. In the face detection process to identify the face area in face images, Viola-Jones algorithm has
Publikováno v:
Mathematical Problems in Engineering, Vol 2018 (2018)
Image similarity and image recognition are modern and rapidly growing technologies because of their wide use in the field of digital image processing. It is possible to recognize the face image of a specific person by finding the similarity between t
Publikováno v:
2017 3rd IEEE International Conference on Computer and Communications (ICCC).
Facial recognition is a very hot topic due to its importance in security, surveillance systems, law enforcement, etc. Many methods are proposed to achieve high accuracy in face recognition but each method has its weaknesses as well as its points of s
Autor:
N. M. Hussain Hassan, Ahmed A. Nashat
Publikováno v:
International Journal of Wavelets, Multiresolution and Information Processing. 16:1850003
The quality of olive fruit and its virgin olive oil is a main concern for consumers and fruit industrial companies. The effectiveness and fast detection of olive’s skin defects is the most decisive factor in determining its quality. It is necessary
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 9, Iss 3, Pp 63-67 (2009)
Facial expression recognition has numerous applications, including psychological research, improved human computer interaction, and sign language translation. A novel facial expression recognition system based on hybrid face regions (HFR) is investig
Publikováno v:
DICTA
A new feature selection approach is proposed for facial expression recognition system. The features are extracted using Gabor filters from Grey-scale images for characterizing facial texture. Then, an adaptive filter selection (AFS) algorithm is appl
Publikováno v:
ICASSP
This paper presents a novel classification method based on perceptual image quality metrics for facial expression recognition. The features are extracted based on Contourlet sub-bands. Then, the optimum features are selected using minimum redundancy
Publikováno v:
2009 Australasian Telecommunication Networks and Applications Conference (ATNAC).
Facial expression recognition (FER) has attracted significant interest in the scientific community due to its importance for human centred interfaces. This study compare the effect of different modulation for person-independent facial expression reco
Publikováno v:
2009 International Conference on Advanced Technologies for Communications.
Facial expression recognition (FER) is an important task in human- computer interaction systems to include emotion processing. In this work we present the recognition of facial expressions in OFDM systems. The original image is converted to binary co