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Recognizing Face Image Based on Gabor and DCT Feature Extraction using SVM

Richa Khyalia, Priyanka Trikha
2021 SKIT research journal  
This paper has proposed a hybrid approach by combining the Gabor filter and a Discrete Cosine Transform.  ...  In the proposed process, the Gabor features have been filtered by the sampling filtration and the Discrete Cosine Transform extracts the low-frequency features of the Gabor filter sampled.  ...  Face Recognition Technology has a range of industrial and law enforcement uses. The human face has a major feature that can be seen as a person's identity.  ... 
doi:10.47904/ijskit.11.1.2021.1-4 fatcat:n3ekzov2trfcbitvre5lihzcfq

Biometric Identification using Human Ear

2019 International Journal of Engineering and Advanced Technology  
Discrete Cosine Transform, Discrete Fourier Transform, Discrete Wavelet Transform are then applied to extract the features.  ...  The outputs of various transforms were compared and the best accuracy obtained is 86% using Discrete Wavelet Transform.  ...  The subject images from a subset were used to train, and to get the feature space with the FSLDA (Full-space Linear Discriminant Analysis). The recognition dropped as the rotation angle increased.  ... 
doi:10.35940/ijeat.a2027.019119 fatcat:ig7s4tfmwvbhxofvicvpcfn3ly

Rotation Invariant Face Recognition Based On Hybrid Lpt/Dct Features

Rehab F. Abdel-Kader, Rabab M. Ramadan, Rawya Y. Rizk
2008 Zenodo  
This paper proposes an effective scheme for rotation invariant face recognition using Log-Polar Transform and Discrete Cosine Transform combined features.  ...  The recognition of human faces, especially those with different orientations is a challenging and important problem in image analysis and classification.  ...  In this paper we propose an effective scheme for rotation invariant face recognition using Log-Polar Transform and Discrete Cosine Transform combined features.  ... 
doi:10.5281/zenodo.1077875 fatcat:fav36fpflvf7nnikcbyfleog5q

An Evaluation Scheme for Safe Biometric Feature Extraction Algorithms

Ashly George, Shameem Kappan, Dr. R. Vijayakumar
2017 International Journal of Engineering Research and  
This paper proposes a methodology for evaluation of algorithms for feature extraction in face recognition process.  ...  Face recognition has been a fast growing, challenging and interesting area in surveillance, image analysis, access control, commercial security and pervasive computing.  ...  Discrete Cosine Transform (DCT) Well known compression standards DCT is a transform used to compress the representation of data by discarding redundant information.  ... 
doi:10.17577/ijertv6is080225 fatcat:ssf6f6irvzf7pmytizde5mp5pq

A Gabor-Block-Based Kernel Discriminative Common Vector Approach Using Cosine Kernels for Human Face Recognition

Arindam Kar, Debotosh Bhattacharjee, Dipak Kumar Basu, Mita Nasipuri, Mahantapas Kundu
2012 Computational Intelligence and Neuroscience  
In this paper a nonlinear Gabor Wavelet Transform (GWT) discriminant feature extraction approach for enhanced face recognition is proposed.  ...  The KDCV with the cosine kernels is then applied on the extracted low-energized discriminating feature vectors to obtain the real component of a complex quantity for face recognition.  ...  Acknowledgments The authors are thankful to a major project entitled "Design and Development of Facial Thermogram Technology for Biometric Security System," funded by University Grants Commission (UGC)  ... 
doi:10.1155/2012/421032 pmid:23365559 pmcid:PMC3529878 fatcat:cwytexkbrzeuleflgn7fs6u3ki

Discrete Wavelet Transform with Eigenface to Enhance Face Recognition Rate

Shakir Kak, Duhok Polytechnic University, Firas Mustafa, Pedro Valente, Duhok Polytechnic University, Portucalense University
2018 Academic Journal of Nawroz University  
The recognition rate Increased when applying 2-level of DWT with the bior5.5 filter on training image database and the test image. For feature extraction and dimension reduction, PCA is used.  ...  Discrete avelet Transform technique is applied on the ORL database to enhance the accuracy and the recognition rate.  ...  In this paper, three different features extraction algorithms (Principal Component Analysis (PCA), Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT)( are compared by using Euclidean  ... 
doi:10.25007/ajnu.v6n4a266 fatcat:taz7qsg7sbcn7o25haxlfzjesa

Activity recognition from acceleration data based on discrete consine transform and SVM

Zhenyu He, Lianwen Jin
2009 2009 IEEE International Conference on Systems, Man and Cybernetics  
This system exploits the discrete cosine transform (DCT), the Principal Component Analysis (PCA) and Support Vector Machine (SVM) for classification human different activity.  ...  First, the effective features are extracted from accelerometer data using DCT. Next, feature dimension is reduced by PCA in DCT domain.  ...  FEATURE EXTRACTION A. DISCRETE COSINE TRANSFORM Ahmed, Natarajan, and Rao [7] first introduced the discrete cosine transform (DCT) in the early seventies.  ... 
doi:10.1109/icsmc.2009.5346042 dblp:conf/smc/HeJ09 fatcat:6yherqxtundmhhfjctws4ccw4y

Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant

Biao Wang, Weifeng Li, Qingmin Liao
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Face representation, including both feature extraction and feature selection, is the key issue for a successful face recognition system.  ...  NSCT is a newly developed multiresolution analysis tool and has the ability to extract both intrinsic geometrical structure and directional information in images, which implies its discriminative potential  ...  Face representation, which includes both feature extraction and feature selection, is acknowledged to be a key issue to face recognition technology.  ... 
doi:10.1109/icassp.2012.6288183 dblp:conf/icassp/WangLL12 fatcat:bn2yvstgo5gm5b7vzlhan6wjti

Transform based approaches for Palmprint Identification

K.Vaidehi K.Vaidehi, T. S.Subashini, V. Ramalingam, S. Palanivel, M. Kalaimani
2012 International Journal of Computer Applications  
In this paper, identification of a person is carried out using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients as palmprint features.  ...  Dimensionality reduction was carried out using Principal Component Analysis (PCA) and the reduced features were classified using Support Vector Machine (SVM).  ...  In transform based approaches, Discrete cosine transform (DCT), discrete fourier transform (DFT), scale invariant feature transform (SIFT), wavelet transform are used for feature extraction.  ... 
doi:10.5120/5502-7496 fatcat:arjcoz6hyfh5xiyepu7s73ms5a

Feature Extraction Techniques for Iris Recognition System: A Survey

Adekunle Adekunle, Y. A, Aiyeniko Aiyeniko, O O, Eze Eze, M. O, Alao O.D
2020 International Journal of Innovative Research in Computer Science & Technology  
The feature extraction plays a predominant role in iris recognition in which also the recognition rate is determined.  ...  The extraction of features involves the method of converting the original pixel values of an image to more meaningful, useful and measurable information that can be used in other techniques, such as image  ...  [26] presented an iris feature extraction and recognition based on 2D discrete cosine transform. The iris localization was done by a circular Hough transform.  ... 
doi:10.21276/ijircst.2020.8.2.5 fatcat:ctkcca5qurc5dlq6kqmrwc67uy

Face Recognition using Symmetric Local Graph Structure

Movina R. Ayoob, R. Mathusoothana, S. Kumar
2015 Indian Journal of Science and Technology  
This work shows the higher and gradual increase in accuracy of face recognition and enables to implement wide variety of applications in computer vision using standard face databases.  ...  The proposed work is aimed to determine the recognition accuracy of face recognition technique and compare its accuracy with existing techniques and also addresses the problems related to facial details  ...  Aman et al. 2 proposed face recognition using Discrete Cosine Transform (DCT) for global and local features.  ... 
doi:10.17485/ijst/2015/v8i24/80876 fatcat:wwlhqrh5rzejlb5jd2rtt4qr44

Face Recognition Systems: A Survey

Kortli, Jridi, Falou, Atri
2020 Sensors  
Various techniques are being developed including local, holistic, and hybrid approaches, which provide a face image description using only a few face image features or the whole facial features.  ...  One interesting feature mentioned in the paper is about the database used for face recognition.  ...  Many databases are used to evaluate this method, including Labeled Faces in Wild (LFW), Extended Yale B, Face Recognition Technology (FERET), and AR.  Discrete cosine transform (DCT) [71] can be used  ... 
doi:10.3390/s20020342 pmid:31936089 pmcid:PMC7013584 fatcat:6gcw35eoz5bl7aoeoofgiygany

Directionally classified eigenblocks for localized feature analysis in face recognition

Hae-Chul Choi
2006 Optical Engineering: The Journal of SPIE  
The discriminative directional information is forced to be compacted in a few coefficients by applying principle-component analysis with the support of directional classification in the discrete cosine  ...  Also, in face recognition simulations using rigid and flexible face matching strategies based on locally extracted features, our proposed method showed outstanding performance.  ...  But the generally used 2-D discrete cosine transform ͑DCT͒, localized principal component analysis ͑PCA͒, and Gabor wavelet transformation are not optimized for pattern discrimination, and a proficient  ... 
doi:10.1117/1.2227000 fatcat:bhdbt7ktkrhu7n5xuodszcvr5q


2020 Journal of the ACS Advances in Computer Science  
In this study, a feature extraction methodology proposed for face recognition. The proposed methodology uses combined block DCT and texture feature.  ...  The frequency domain feature is statistical block based discrete cosine transformation of a small number of low frequency coefficients.  ...  The discrete cosine transformation is widely used as mean for image abstraction as well as feature extraction.  ... 
doi:10.21608/asc.2020.157427 fatcat:v3frpyd5cjd63aoqwom6rznpkq

Wavelets and Face Recognition [chapter]

Dao-Qing Dai, Hong Y
2007 Face Recognition  
The wavelet transform or the wavelet packet transform have been used for feature extraction in face recognition.  ...  (Ekenel & Sankur, 2005) introduced a ternary-architecture multiresolution face recognition system. They used the 2D discrete wavelet transform to extract multiple subband face images.  ...  Face Recognition This book will serve as a handbook for students, researchers and practitioners in the area of automatic (computer) face recognition and inspire some future research ideas by identifying  ... 
doi:10.5772/4831 fatcat:jbss7mzornh2tpggkankwuq7ie
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