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THE COMBINATION OF FEATURE ORDE 1 (STATISTICS FEATURE), FEATURE ORDE 2 (FEATURE HARALIC) AND DISCRETE COSINE TRANSFORM (DCT) ON PATTERN ROCOGNITION OF FACE IMAGE

JuliansyahPutra Tanjung, Muhammad Zarlis, Marwan Ramli
2018 International Journal of Advanced Research  
2 after that transformed using discrete cosine transform.  ...  of feature order 1 after that transformed using Discrete Cosine Transform (DCT).  ...  From percentage above, the combination of Discrete Cosine Transform (DCT) against Feature Extraction is not suitable for facial image recognition.  ... 
doi:10.21474/ijar01/6687 fatcat:ffgrrr23fndvpakbichuyb3odm

Infrared Face Recognition Based on DCT and Partial Least Squares [chapter]

Zhihua Xie, Guodong Liu
2014 Communications in Computer and Information Science  
In this essay, infrared face recognition method using Discrete Cosine Transform (DCT) and Partial Least Square (PLS) is proposed.  ...  However, to obtain the compact and discriminative feature extracted from infrared face image is a challenging task.  ...  In previous research, Discrete Cosine Transform (DCT) based on the feature extraction method is applied to extract compact information for face recognition [5]: Zhang et al [7] improved the classical  ... 
doi:10.1007/978-3-662-45498-5_8 fatcat:zmwigff2ujdshfmcmui73j6lay

An Illumination Invariant Face Recognition Using 2D Discrete Cosine Transform and Clahe

Thamizharasi A, Jayasudha J.S
2016 International Journal of Computer Science & Information Technology (IJCSIT)  
The fisher face subspace method extracts features from 'DCT CLAHE' imageand features are matched with cosine similarity.  ...  etc.In this paper, illumination normalization of face images is done by combining 2D Discrete Cosine Transform and Contrast Limited Adaptive Histogram Equalization.  ...  The following section describes 2D DCT. 2D DISCRETE COSINE TRANSFORM (2D DCT) Discrete Cosine Transform (DCT) is a local appearance based method for face recognition.  ... 
doi:10.5121/ijcsit.2016.8304 fatcat:zz33agfvtfbahghbsbdkif65zu

Neural Network based Face Recognition System using Discrete Cosine Transform and Principal Component Analysis

C. Rajivegandhi, C. Sabarinathan, B. Abinaya
2014 International Journal of Computer Applications  
The developed algorithm for the face recognition system originates an image based approach, which uses the Two-Dimensional Discrete Cosine Transform (2D-DCT) to compress image, and then Self Organizing  ...  In this proposed algorithm we use unsupervised single neural network as a classifier for both Two Dimensional Discrete Cosine Transform (2D-DCT) and Principal Component Analysis (PCA).  ...  After feature extraction is applied, then cosine sameness measures and the nearby categorisation rule is used to identify. Another method uses facial distances for input vector.  ... 
doi:10.5120/17860-8749 fatcat:7pk2yugfhzf4nogqghdgp2euoa

Face Recognition using Two Dimension Fractional Discrete Cosine Domain and BPNN

Kumud Arora, V.P. Vishwakarma, Poonam Garg
2015 International Journal of Computer Applications  
PCA is used as dimension reduction approach for reducing transformed feature set dimensionality. Reduced feature set is then classified by back propagation neural network classifier.  ...  In this paper an effort is made to explore the effect of using fractional order spectrum obtained by the application of 2D FRDCT on the accuracy of face recognition.  ...  Fractional version of Discrete Cosine Transform (FRDCT) has been used recently for feature extraction step of face recognition [19] .  ... 
doi:10.5120/19865-1842 fatcat:w7y733ob4naonjrx6bpd5tozqq

Comparative Analysis of Illumination Normalizations on Principal Component Analysis Based Feature Extraction for Face Recognition

Oluwakemi C Abikoye, Iyabo F Shoyemi, Taye O Aro
2019 FUOYE Journal of Engineering and Technology  
PCA was further used to extract features from the normalized face images. Euclidean distance was used to classify extracted features.  ...  Principle Component Analysis (PCA) is an appearance-based technique for extraction of feature extraction that is commonly used in computer vision and image processing.  ...  Experimental results showed the best recognition accuracy of 91.84 % in Discrete Cosine Transform for ORL and 76 % for FERET.  ... 
doi:10.46792/fuoyejet.v4i1.309 fatcat:gqnw3zrjyjh27fhhkqnojfytgq

2.5D Face Recognition Using Gabor Discrete Cosine Transform

Ali Cheraghian, Farshid Hajati, Soheila Gheisari, Yongsheng Gao
2016 Zenodo  
In this paper, we present a novel 2.5D face recognition method based on Gabor Discrete Cosine Transform (GDCT).  ...  Then, Discrete Cosine Transform (DCT) is used for dimensionality and redundancy reduction to improve computational efficiency.  ...  In this algorithm, Gabor wavelets are used for feature extraction. Since the extracted data has a high dimensionality, Discrete Cosine Transform (DCT) is used.  ... 
doi:10.5281/zenodo.1111558 fatcat:oge2leys6vffdj4yq5k76esx6m

Three Level Optimization Models of Scaled Gabor Features for Facial Expression Recognition

Neha ., Pratistha Mathur
2018 International Journal of Engineering & Technology  
This paper presents a novel feature extraction technique: Gabor-Average-DWT-DCT for automatic facial expression recognition from a person's face image invariant of illumination.  ...  Gabor filter is able to extract edges and texture pattern of faces but with problem of huge dimension and high redundancy.  ...  Kulkarni and John moriarty [4] analyzed impact of image block size using discrete cosine transform based feature extraction for facial expression recognition for determination of best block size to achieve  ... 
doi:10.14419/ijet.v7i2.24.12080 fatcat:oysed43mfbdwldqqzsqcx2r5ui

Biometric Identification using Human Ear

2019 International Journal of Engineering and Advanced Technology  
Various transforms viz. Discrete Cosine Transform, Discrete Fourier Transform, Discrete Wavelet Transform are then applied to extract the features.  ...  Widely used forms of biometrics are facial recognition, finger print recognition, iris recognition, etc. but the drawback is that most of these features change over time.  ...  Karuna et al (2015) [7] used Gabor filter (GF) for feature extraction, and further used discrete wavelet transform (DWT) to filter the Gabor feature matrix of its redundancies, achieving a recognition  ... 
doi:10.35940/ijeat.a2027.019119 fatcat:ig7s4tfmwvbhxofvicvpcfn3ly

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

Richa Khyalia, Priyanka Trikha
2021 SKIT research journal  
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.  ...  This paper has proposed a hybrid approach by combining the Gabor filter and a Discrete Cosine Transform.  ...  Discrete Cosine Transform Discrete Cosine Transform is a linear frequency domain transform. DCT can express a finite sequence data that is a summation of different frequencies and magnitudes.  ... 
doi:10.47904/ijskit.11.1.2021.1-4 fatcat:n3ekzov2trfcbitvre5lihzcfq

A Novel Triangular Dct Feature Extraction For Enhanced Face Recognition

SHILPASHREE RAO
2018 Zenodo  
The preprocessed images are applied to feature extraction transformations, namely, the Discrete Wavelet Transform (DWT) coupled with Slope-form Triangular Discrete Cosine Transform (STDCT) to generate  ...  the novel face recognition algorithm for enhanced face recognition Material and methods The sequence of operations for face recognition comprises of the pre-processing techniques, feature extraction  ... 
doi:10.5281/zenodo.1184905 fatcat:ejm4h6zhfje5dg24uxm4n3vvwi

Face Recognition Using Discrete Cosine Transform for Global and Local Features [article]

Aman R. Chadha, Pallavi P. Vaidya, M. Mani Roja
2011 arXiv   pre-print
Face Recognition using Discrete Cosine Transform (DCT) for Local and Global Features involves recognizing the corresponding face image from the database.  ...  Depending upon the recognition rate obtained for each feature, they are given weightage and then combined. Both local and global features are used for comparison.  ...  An alternative holistic approach to face recognition is discrete cosine transform. Face normalization techniques were also incorporated in the face recognition system discussed.  ... 
arXiv:1111.1423v1 fatcat:biaxcothgzczncc5lz3oee3q2y

A Video-Based Door Monitoring System Using Local Appearance-Based Face Models

Tejaswita Wakhure
2017 International Journal for Research in Applied Science and Engineering Technology  
This algorithm utilizes local information which is extracted using Discrete Cosine Transform (DCT). The system is implemented using MATLAB on Windows platform.  ...  Biometrics is also a big challenging field where unique features of person are used for identification and verification of person.  ...  The algorithm uses discrete cosine transform (DCT) for local appearance representation.  ... 
doi:10.22214/ijraset.2017.10018 fatcat:e3n4qovtijaihbeejyog4ijhoe

Performance Analysis of Feature Extraction Techniques for Facial Expression Recognition

Neha Janu, Sandeep Kumar, Pratistha Mathur
2017 International Journal of Computer Applications  
The purpose of this research work is to analysis of different feature extraction technique in frequency domain as Gabor filter, Discrete Wavelet Transform and Discrete Cosine Transform feature extraction  ...  Facial Expression recognition is applied for identification of person using face of a person.  ...  [8] analyzed impact of image block size using discrete cosine transform based feature extraction for facial expression recognition for determination of best block size to achieve best accuracy and explained  ... 
doi:10.5120/ijca2017912518 fatcat:oav6keb5nng7ha2b6srmzc4lgq

Comparison of Multi-View Face Recognition using DCT and Hybrid DWT of Score Fusion under Uncontrolled Illumination Variation

Manisha JKasar, Nitin S. Choubey
2014 International Journal of Computer Applications  
The proposed face recognition system consists of a novel illuminationinsensitive preprocessing method, a hybrid discrete Wavelet Transform (HDWT) for feature extraction and Density based Score Fusion Technique  ...  To do the feature extraction this system uses DCT Wavelet transform to generate the feature vectors of the query and database images.  ...  In this paper Hybrid Discrete Wavelet Transform (HDWT) is used for extracting feature from face image and DCT (Discrete Cosine Transform) is used for comparison with proposed method.  ... 
doi:10.5120/16784-6369 fatcat:o7ncm5onizb7dnsy66kutaa5am
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