Yazar "Çevik, Taner" için listeleme
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DLGBD: A directional local gradient based descriptor for face recognition
Çevik, Nazife; Çevik, Taner (Springer, 2019)This paper proposes a novel high-performance gradient-based local descriptor that handles the prominent challenges of face recognition such as resistance against rotational, illuminative changes as well as noise effects. ... -
Effect of derivative action on back-propagation algorithms
Gürhanlı, Ahmet; Çevik, Taner; Çevik, Nazife (Springer Verlag, 2019)Multilayer neural networks using supervised training try to minimize the error between a given correct answer and the ones produced by the network. The weights in the neural network are adjusted at each iteration and after ... -
FTSH: a framework for transition from square image processing to hexagonal image processing
Çevik, Taner; Fettahoğlu, Mustafa; Çevik, Nazife; Yılmaz, Serdar (Springer, 2020)This paper proposes a novel framework for transition from the ordinary square-pixel-based image processing (SIP) domain to the hexagonal-pixel-based (HIP) domain (FTSH). The conventional image acquisition and processing ... -
A machine learning-based framework for predicting game server load
Özer, Çağdaş; Çevik, Taner; Gürhanlı, Ahmet (Springer, 2020)Server load prediction can be utilized for load-balancing and load-sharing in distributed systems. The use of machine learning (ML) algorithms for load estimation in distributed system applications can increase the ... -
A novel high-performance holistic descriptor for face retrieval
Çevik, Nazife; Çevik, Taner (Springer London, 2020)Texture extraction-based classification has become the facto methodology applied in face recognition. Haralick feature extraction from gray-level co-occurrence matrix (GLCM) is one of the basic holistic studies that has ... -
Novel multispectral face descriptor using orthogonal walsh codes
Çevik, Nazife; Çevik, Taner; Gürhanll, Ahmet (Inst Engineering Technology, 2019)This paper proposes a novel high-performance multispectral local descriptor that uses orthogonal Walsh codes during the generation of the discriminative feature set. Rotational variance and noise are compelling factors ... -
Performance analysis of GLCM-based classification on Wavelet Transform-compressed fingerprint images
Çevik, Taner; Ali Alshaykha, Ali Mustafa; Çevik, Nazife (IEEE, 2016)Fingerprint detection is one of the primary methods for identifying individuals. Gray Level Co-occurrence Matrix (GLCM) is the oldest and prominent statistical textual feature extraction method applied in many fields for ... -
RIMFRA: Rotation-invariant multi-spectral facial recognition approach by using orthogonal polynomials
Çevik, Taner; Çevik, Nazife (Springer New York LLC, 2019)This paper proposes a novel rotation-invariant multi-spectral facial recognition approach (RIMFRA) by using orthogonal polynomials. In the first step, a rotation, illumination and noise invariant local descriptor (RinLd) ... -
A survey of multimedia streaming in wireless sensor networks: progress, issues and design challenges
Çevik, Nazife; Çevik, Taner; Gunagwera, Alex (2015)Advancements in Complementary Metal Oxide Semiconductor (CMOS) technology have enabled Wireless Sensor Networks (WSN) to gather, process and transport multimedia (MM) data as well and not just limited to handling ordinary ...
