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A real-time multi-user face unlock system via fast sparse coding approximation

I-Kuei Chen, Yi-Min Tsai, Jyh-Jing Hwang, Liang-Gee Chen
2012 2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin)  
We propose a multi-user face unlock system based on fast sparse coding approximation. Different approximation techniques of sparse coding are compared for real-time processing and recognition rate.  ...  The system is tested with a public face dataset for real-world applications, which is able to recognize 100 different face identities in 0.0028s on a regular PC, with 93.8% recognition rate.  ...  Registration 1) Feature Extraction: Feature extraction performs dimension reduction for input faces.  ... 
doi:10.1109/icce-berlin.2012.6336497 dblp:conf/icce-berlin/ChenTHC12 fatcat:w666qvnulbdfhfk5tn3qgi5hne

A Review Paper On An Enhanced Face Recognition System Using Correlation Method And Abpso

Ms. Navpreet Kaur*, Ms. Rasleen Kaur
2016 Zenodo  
This paper deals with using of Particle Swarm Optimization techniques for Face Recognition.  ...  Face Recognition is one of the problems which can be handled very well using Hybrid techniques or mixed transform rather than single technique.  ...  Phase4: After that we do code for the recognition of the loaded face image and develop a code for the decision on the base of the matching points for the loaded face image.  ... 
doi:10.5281/zenodo.55973 fatcat:dxvfsee2o5auxgeiidqnxxyhd4

Automatic Face Recognition Using Gabor Wavelet and Robust Structured Spares Representation

R Madhura, P.Suthanthira Devi
2014 IOSR Journal of Computer Engineering  
But FR still remains a challenge problem in computer vision .so in this paper we proposed a new approach that use Gabor wavelet for facial feature extraction and robust structured sparse representation  ...  Gabor wavelet has beenwidely used in the face recognition task because it's good imitation of human visual.  ...  In face recognition system the feature based method finds the important features on the face and represents them in an efficient way.  ... 
doi:10.9790/0661-16198285 fatcat:23fztfs2sjg3hepr72rmofhx6y

A Review of Face Recognition Techniques

S.R Juliet Anesha
2016 Journal of excellence in Computer Science and Engineering  
In order to handle all these inter and intra-class variations in face images, various methodologies have been proposed. Here we analyse some methods, their possible strongholds and drawbacks.  ...  Streams including content retrieval, network security and video compression get profited by face recognition technology.  ...  Shiu and David Zhang, Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition, IEEE Transactions on Information Forensics and Security, Vol. 7, No.6, 2012, pp. 1738-  ... 
doi:10.18831/djcse.in/2016021002 fatcat:babgzcmqw5c5datil4yapqxoge

Huffman Code Function and Mahalanobis Distance-base Face Recognition

Babatunde R., Ajao. J., Balogun B.
2016 International Journal of Computer Applications  
Due to the aforementioned problems this research develops an improved face recognition system using Huffman Encoding method for selecting optimal features from the high dimensional face image.  ...  Another major issue is the ability to project facial faces into a low sub space due to the non-linear manifold nature of face, resulting in high features, affecting the automated recognition of face.  ...  The features obtained from applying the above algorithm to the face image at the feature extraction stage create an encoding value for each image of each class that will enhance the facial recognition  ... 
doi:10.5120/ijca2016911784 fatcat:wlzdkaxjo5bnbkkntmslfdemju

A Local Binary Pattern Based Facial Expression Recognition using K- Nearest Neighbor (KNN) Search

Goutami Panchal, K N Pushpalatha
2017 International Journal of Engineering Research and  
The different methodologies and techniques are introduced for detection, extraction, classification and recognition of the face.  ...  The proposed method is K-Nearest neighbor along with Local Binary Pattern and Asymmetric Region LBP are used for extracting features and feature classification of the image.  ...  Feature Extraction: Feature extraction is done by using LBP and ARLBP methods, features of the face image are obtained for different regions of face image and these features are combined and concatenated  ... 
doi:10.17577/ijertv6is050284 fatcat:wtsolnwgvvcqncwqbvwfg6id4a

Simulation and Application of Weighting Vector Machine Algorithm in Face Recognition

Yonqiang Li, Jin Pan
2016 International Journal of Multimedia and Ubiquitous Engineering  
First LBP of face images and gradient LBP features were extracted, then they were weighting combined to form facial feature vectors; finally the support vector machine was used to build face recognition  ...  The author proposes a weighted algorithm supports local binary pattern vector machine (LBP) focusing on face recognition feature extraction problem.  ...  In recent years, some scholars have proposed extraction algorithm based on local binary pattern (LBP) facial features, which provides a new idea for human face features extraction.  ... 
doi:10.14257/ijmue.2016.11.8.11 fatcat:5de6kx3rcreqxphx62bkyogtca

Face Analysis Using Row and Correlation Based Local Directional Pattern

Srinivasa Perumal Ramalingam
2020 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
These methods extract the discriminant information from the local features of the face image for recognition.  ...  Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and proposed ideal solutions.  ...  Statistical feature extraction has been rigorously used for addressing these challenges. A statistical local descriptor extracts unique features of the face to identify a person.  ... 
doi:10.5565/rev/elcvia.1254 fatcat:g47rxpmw5zdmlj7irgzfzswt3a

Discriminant image filter learning for face recognition with local binary pattern like representation

Zhen Lei, Dong Yi, S. Z. Li
2012 2012 IEEE Conference on Computer Vision and Pattern Recognition  
Local binary pattern (LBP) and its variants are effective descriptors for face recognition. The traditional LBP like features are extracted based on the original pixel or patch values of images.  ...  In this way, the LBP like features extracted from the filtered images are considered to be more discriminant than those extracted from the original images.  ...  After that, the histogram based features are extracted to represent face images.  ... 
doi:10.1109/cvpr.2012.6247967 dblp:conf/cvpr/LeiYL12 fatcat:7ccju3zipngotjvidnnwdkg2oe

Real Time Face Detection using Improvised Machine Learning Algorithm

Prachi Satpute
2020 International Journal for Research in Applied Science and Engineering Technology  
The innovation of new approaches for the face recognition technology is a continuous subject for building much stronger face recognition algorithms.  ...  Face recognition has become an important field in computer-based application development in the last few years. This is because of the wide range of areas in which it is used.  ...  For segmentation there are Parallel methods of region extraction based on thresholding.  ... 
doi:10.22214/ijraset.2020.32477 fatcat:w5olxhtqo5ailgrw5hd5qlovoi

A Novel Technique For Human Face Recognition Using Fractal Code and Bi-dimensional Subspace [chapter]

Benouis Mohamed, Benkkadour Mohamed Kamel, Tlmesani Redwan, Senouci Mohamed
2015 IFIP Advances in Information and Communication Technology  
In this paper, fractal code is introduced in order to extract the face features from the normalized face image based WPD.  ...  Conclusion In this paper, we propose an approach for face recognition based on the combination of two approaches, one used for the reduction of space and feature extractions in two dimensions and the other  ... 
doi:10.1007/978-3-319-19578-0_3 fatcat:wxu7zogfhzferparrexxhrqezm

Expression Recognition Using RP and DPL

Zhijun Pei, Yaxin Wang
2017 DEStech Transactions on Engineering and Technology Research  
Using different Random Projection (RP) for each class features and Dictionary Pairs Learning (DPL) classification algorithm, the proposed approach of face expression recognition can classify the prototypic  ...  emotional facial expressions with improved computation burden and recognition performance.  ...  The geometric feature-based methods and appearance-based methods are two common approaches to extract facial features.  ... 
doi:10.12783/dtetr/apetc2017/11380 fatcat:7c4i6wifcvfejapycnnpwzklyi

Recent progress in face recognition based on sparse coding

Heyan Zhu, Shengping Zhang
2013 Postdoc Journal  
Since sparse representation based classification method for face recognition got great success in 2009, many subsequent improved methods were proposed.  ...  In this paper, we aim at providing a comprehensive review of the recent state-of-the-art face recognition methods based on sparse coding.  ...  Little work tries to extract more discriminative while low-dimensional features from images. In addition, sparse coding can also be used to extract features from images.  ... 
doi:10.14304/surya.jpr.v1n10.4 fatcat:rdcnu3hncnc23jzgkavbnnonga

HOG & Sparse Based Face Recognition System

Shahina Shahina, Arun P.S
2016 IOSR Journal of VLSI and Signal processing  
For better invariance to illumination and expression changes, Histogram of Oriented Gradients (HOG) feature is also extracted to represent face images.This method offer the better recognition performance  ...  The proposed face recognition method is evaluated on the standard ORL data base and yields very impressive results.  ...  In Feature-based approach local features like nose, eyes are segmented and it can be used as input data for the face recognition.  ... 
doi:10.9790/4200-0604010509 fatcat:b7v6abp7djgchlcjz3pdmvvjgi

Generic Image Classification Approaches Excel on Face Recognition [article]

Fumin Shen, Chunhua Shen
2013 arXiv   pre-print
While recently a large body of residual based face recognition methods focus on developing complex dictionary learning algorithms, in this work we show that a dictionary of randomly extracted patches (  ...  Our proposed face recognition approach offers the best reported results on the widely-used face recognition benchmark datasets.  ...  K-SVD: As a generalization of K-means, K-SVD shares a similar objective function as sparse coding [1] . It has been used for generating dictionary for residual based face recognition [14, 35] .  ... 
arXiv:1309.5594v2 fatcat:yynex2q4ubfspp4ygeu6etrpwi
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