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Image Analysis with Local Binary Patterns [chapter]

Matti Pietikäinen
2005 Lecture Notes in Computer Science  
Perhaps the most important property of the LBP operator in real-world applications is its tolerance against illumination changes.  ...  The local binary pattern approach has evolved to represent a significant breakthrough in texture analysis, outperforming earlier methods in many applications.  ...  Acknowledgments I wish to thank Timo Ahonen, Abdenour Hadid, Marko Heikkilä, Topi Mäenpää, Timo Ojala, Valtteri Takala, Markus Turtinen, and Feng Xiaoyi for their contributions.  ... 
doi:10.1007/11499145_13 fatcat:2vduwk6k2jgw7e2mogax55etla

Face Recognition with Patterns of Oriented Edge Magnitudes [chapter]

Ngoc-Son Vu, Alice Caplier
2010 Lecture Notes in Computer Science  
This paper addresses the question of computationally inexpensive yet discriminative and robust feature sets for real-world face recognition.  ...  image; (2) is a multi-scale self-similarity based structure that results in robustness to exterior variations; and (3) is of low complexity and is therefore practical for real-time applications.  ...  For real-world face recognition systems we also believe that a good representation should be both fast and compact: if one is testing a probe face against a large database of desirable (or undesirable)  ... 
doi:10.1007/978-3-642-15549-9_23 fatcat:vlsxkbeum5calcsfn5q74rxe7q

A GA Based approach for selection of local features for recognition of handwritten Bangla numerals [article]

Nibaran Das, Subhadip Basu, Punam Kumar Saha, Ram Sarkar, Mahantapas Kundu, Mita Nasipuri
2015 arXiv   pre-print
In the current work we have developed a two-pass approach where the first pass classifier performs a coarse classification, based on some global features of the input pattern by restricting the possibility  ...  of classification decisions within a group of classes, smaller than the number of classes considered initially.  ...  Acknowledgements: Authors are thankful to the "Center for Microprocessor Application for Training Education and Research", "Project on Storage Retrieval and Understanding of Video for Multimedia" of Computer  ... 
arXiv:1501.05495v1 fatcat:ucfheln4o5edveuye5kg2c6udi

Facial Feature Extraction Based on Local Color and Texture for Face Recognition using Neural Network

S.Cynthia Christabel, M. Annalakshmi, Mr.D.Prince Winston
2013 International Journal of Science and Engineering Applications  
In addition, to perform the final classification, multiple color local texture features (each corresponding to the associated color band) are combined within a feature-level fusion framework using Neural  ...  For the purpose of face recognition (FR), the new color local texture features, i.e., color local Gabor wavelets (CLGWs) and color local binary pattern (CLBP), are being proposed.  ...  Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic grey level changes.  ... 
doi:10.7753/ijsea0204.1005 fatcat:2v2holnbzvawnlxd4vuibcl5ha

A wrapper-based approach to image segmentation and classification

M.E. Farmer, A.K. Jain
2004 Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.  
We show the performance of wrapper-based segmentation on real-world and complex images of automotive vehicle occupants.  ...  Our motivation for integrating segmentation and classification follows the wrapper methods of feature selection.  ...  These assumptions, however, are rarely met in interesting real-world applications.  ... 
doi:10.1109/icpr.2004.1334053 dblp:conf/icpr/FarmerJ04 fatcat:e2c6h4imcfg7xfrqbju4wiu6hq

Background [chapter]

Matti Pietikäinen, Abdenour Hadid, Guoying Zhao, Timo Ahonen
2011 Computational Imaging and Vision  
We investigate a new facial representation which combines both measures and extensively evaluate the proposed representation on the gender classification problem, showing interesting results.  ...  Furthermore, we compare our results against those of using Haar-like features and AdaBoost learning, demonstrating improvements with a significant margin.  ...  Acknowledgment This work has been partially performed within two EU funded projects called MOBIO (contract number: IST-214324) and TABULA RASA (grant agreement number: 257289).  ... 
doi:10.1007/978-0-85729-748-8_1 fatcat:qv7wigqgkfcexf3q4ts6733mx4

Arabic Sign Language Recognition an Image-Based Approach

M. Mohandes, S.I. Quadri, M. Deriche
2007 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)  
Second process is region-based analysis which exploits both boundary and interior pixels of an object.  ...  Since, the system handled a binary classifier it performed a one-versus-all kind of classification. PCNN (Pulse Coupled Neural Network) is used for pattern recognition.  ...  WORKING OF THE ALGORITHM A. Classification In pattern recognition, (k-NN) is a method for classifying objects based on closest training examples in the feature space.  ... 
doi:10.1109/ainaw.2007.98 dblp:conf/aina/MohandesQD07 fatcat:c5w3doicgvhhhmv3ucffvxiukm

Combining Contrast Information and Local Binary Patterns for Gender Classification [chapter]

Juha Ylioinas, Abdenour Hadid, Matti Pietikäinen
2011 Lecture Notes in Computer Science  
We investigate a new facial representation which combines both measures and extensively evaluate the proposed representation on the gender classification problem, showing interesting results.  ...  Furthermore, we compare our results against those of using Haar-like features and AdaBoost learning, demonstrating improvements with a significant margin.  ...  Acknowledgment This work has been partially performed within two EU funded projects called MOBIO (contract number: IST-214324) and TABULA RASA (grant agreement number: 257289).  ... 
doi:10.1007/978-3-642-21227-7_63 fatcat:rbhzwrtwrng3zmtfppnllgdsbu

Performance Evaluation of Different Feature Extractors and Classifiers for Recognition of Human Faces with Low Resolution Images

Soodeh Nikan, Majid Ahmadi
2015 International Journal of Intelligent Systems and Applications in Engineering  
In this paper the effect of low resolution images which are captured in real world applications, on the performance of different feature extraction techniques combined with a variety of classification  ...  Face recognition is an effective biometric identification technique used in many applications such as law enforcement, document validation and video surveillance.  ...  , bilinear and bicubic Figure 4 . 4 Recognition accuracies (%) for different feature extraction and classification combinations on the interpolated images in AR database (from 16 × 16 pixels to 128 ×  ... 
doi:10.18201/ijisae.28949 fatcat:soaoqudvsbe3dhve5sli5pjm4a

A Face Recognition Based Multiplayer Mobile Game Application [chapter]

Ugur Demir, Esam Ghaleb, Hazım Kemal Ekenel
2014 IFIP Advances in Information and Communication Technology  
To realise this game in real-time, fast and robust face detection and face recognition algorithms have been employed.  ...  In the application, face detection and recognition technologies are utilised to detect and identify the individuals, respectively.  ...  This work was supported by the Avea Labs Research Grant, TUBITAK project no. 113E121; and a Marie Curie FP7 Integration Grant within the 7th EU Framework Programme.  ... 
doi:10.1007/978-3-662-44654-6_21 fatcat:lj5ei6s6t5ejnpzzvh4dvxkome

Pixel-Level Weed Classification Using Evolutionary Selection of Local Binary Pattern in a Stochastic Optimised Ensemble

Basil Andy Lease, W. K. Wong, Lenin Gopal, Choo W. R. Chiong
2020 SN Computer Science  
This paper presents a pixel-level weed classification model using rotation-invariant uniform local binary pattern (LBP) features.  ...  This highlights some potentialities for chip-based application-specific integrated circuit LBP pixel-level weed classification in smart agriculture applications.  ...  They have also contributed to the literature review on ensemble design and evolutionary feature selection and the discussions on time complexity. Compliance with ethical standards  ... 
doi:10.1007/s42979-020-00357-y fatcat:cthwnzkyhzagve7d6ruijnqzzy

Efficient Feature Fusion For Noise Iris In Unconstrained Environment

Yao-Hong Tsai
2015 Zenodo  
The detection of the iris image is based on Adaboost algorithm and then local binary pattern (LBP) histogram is then applied to texture classification with the weighting scheme.  ...  A wavelet-based approach for multi-resolution image fusion is applied in the fusion process.  ...  ACKNOWLEDGMENT This work was supported in part by a grant from National Science Council MOST 103-2221-E-364-003 and Hsuan Chuang University.  ... 
doi:10.5281/zenodo.1099571 fatcat:6tspfxit6bhvpkv2bg3ifbzxve

Advanced Image Retrieval with Topical Classification Strategy

Anuja khodaskar, Siddarth Ladhake
2015 Procedia Computer Science  
We also present overview of image classification which highlights categories of classification, factor affecting accuracy of classification and recent applications of classification with advanced techniques  ...  This paper proposed an advanced content based image retrieval system using topical rule based classification strategy which improve retrieval performance significantly.  ...  Proposed classification technique with accuracy can also be improve performance of many real world applications such search engine, information retrieval application etc.  ... 
doi:10.1016/j.procs.2015.04.180 fatcat:r5j75562rjhrznyksff47ifwfq

Face and texture analysis using local descriptors: A comparative analysis

Abdenour Hadid, Juha Ylioinas, Miguel Bordallo Lopez
2014 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)  
in real world conditions.  ...  This paper considers three recent yet popular local descriptors, namely Local Binary Patterns (LBP), Local Phase Quantization (LPQ) and Binarized Statistical Image Features (BSIF), and provides extensive  ...  ACKNOWLEDGMENT The financial support of the Academy of Finland and the TABULA RASA project (http://www.tabularasa-euproject.org) funded under the 7th Framework Programme of the European Union (EU) (grant  ... 
doi:10.1109/ipta.2014.7001944 dblp:conf/ipta/HadidYL14 fatcat:6fgjfzoxuvh5rfooapv2jg37pq

Pattern recognition for biomedical imaging and image-guided diagnosis

Nikita V. Orlov, John Delaney, D. Mark Eckley, Lior Shamir, Ilya G. Goldberg
2009 2009 IEEE/NIH Life Science Systems and Applications Workshop  
Thus, the application of pattern recognition to biomedical imaging requires the development of a wide variety of image features.  ...  Pattern recognition relies on numerical image descriptors (features) to describe image content.  ...  Feature Bank (FB) is a set of algorithms for Pattern Recognition for Biomedical Imaging and Image-Guided Diagnosis I FB ! " ! ! !  ... 
doi:10.1109/lissa.2009.4906724 fatcat:equq3mm465gerc27oo5nri5iey
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