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Improving a Leaves Automatic Recognition Process Using PCA
[chapter]
Advances in Soft Computing
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In this work we present a simulation of a recognition process with perimeter characterization of a simple plant leaves as a unique discriminating parameter. ...
Border description sequences are then used, and Principal Component Analysis (PCA) is applied in order to study which is the best number of components for the classification task, implemented by means ...
Conclusions In this present work, we have presented an improvement of an automatic leaves recognition system using Principal Component Analysis and classifying with Support Vector Machines. ...
doi:10.1007/978-3-540-85861-4_29
fatcat:xkgrgboifbg5ji4lyxnoxy2slm
A computer-based vision systems for automatic identification of plant species using kNN and genetic PCA
2015
Journal of Agricultural Informatics
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A B S T R A C T Precision farming involves integration of different areas of disciplines to lower production costs and improve productivity. ...
The GA-PCA (1907 x 41) feature space improved the classification accuracy of kNN from 84.98% to 88.75%. ...
the proposed model (kNN-GA-PCA) for automatic identification of leaves. ...
doi:10.17700/jai.2015.6.2.164
fatcat:6hx3m7me3vg5bn2tumpfzvpcem
IMAGE SEQUENCES BASED FACIAL EXPRESSION RECOGNITION USING SUPPORT VECTOR MACHINE
2017
International Journal of Engineering and Technology
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This paper demonstrates the use of SVM in facial image recognition and produces performance equal to that of neural networks. ...
Automatic recognition of facial expression can be addressed by face positions, removal of facial features and learning methods. ...
They used wavelet transforms as a pre-processing measure before applying PCA for feature extraction. SVm was then used to classify on an Indian face database. ...
doi:10.21817/ijet/2017/v9i5/170905318
fatcat:zgegcwsjpnfwzaa55zbrvv2we4
Face Hallucination and Recognition
[chapter]
2003
Lecture Notes in Computer Science
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For automatic face recognition, a low resolution bound is found through experiments. We use an eigentransformation based hallucination method to improve the image resolution. ...
Image resolution is an important factor affecting face recognition by human and computer. In this paper, we study the face recognition performance using different image resolutions. ...
Given the significant improvement of the face appearance by the hallucination process, it is interesting to investigate whether the hallucination helps automatic recognition. ...
doi:10.1007/3-540-44887-x_58
fatcat:lizvlrzhvzdntp3cewp4unldlu
Leaf Recognition Using Feature level Fusion Scheme
2017
International Journal of Recent Trends in Engineering and Research
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In this paper, a feature level fusion scheme is presented using PHOG and COA-LBP features. It gives 82.86 % rank one recognition result. ...
A leaf is an organ of vascular plant and is the principal lateral attachment of the stem. Each leaf has a set of features that differentiate it from the other leaves, such as margin and shape. ...
Thus improving performance of leaf identification system using Principal Component Analysis (PCA) are performed. ...
doi:10.23883/ijrter.2017.3326.tmtkf
fatcat:wroahrvwljg5jkxnh6jmvzhtha
Visual emotion recognition using compact facial representations and viseme information
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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We also find that dynamic modeling and the use of viseme information improves recognition accuracy for anger, happiness and sadness, as well as for the overall unweighted performance. ...
We derive compact facial representations using methods motivated by Principal Component Analysis and speaker face normalization. ...
EMOTION RECOGNITION EXPERIMENTS
Experimental Setup We organize our emotion recognition experiments using a 10-fold leave-one-speaker-out cross validation. ...
doi:10.1109/icassp.2010.5494893
dblp:conf/icassp/MetallinouBLN10
fatcat:5ztqnncf6jc6xck3ykyvqsvtkm
Face recognition with temporal invariance: A 3D aging model
2008
2008 8th IEEE International Conference on Automatic Face & Gesture Recognition
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Use of 3D aging model improves the rank-1 matching accuracy on FG-NET database from 28.0% to 37.8%, on average. ...
The proposed approach is evaluated on a set of age-separated probe and gallery data using a state-of-theart commercial face recognition engine, FaceVACS. ...
We have used the complete FG-NET database for aging model construction and used it in the leave-one-out fashion for recognition. Note that while Geng et al. ...
doi:10.1109/afgr.2008.4813408
dblp:conf/fgr/ParkTJ08
fatcat:gwebcegbrfdpdpq45ojlearhty
Automatic Facial Expression Recognition Using Facial Animation Parameters and Multistream HMMs
2006
IEEE Transactions on Information Forensics and Security
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The performance of an automatic facial expression recognition system can be significantly improved by modeling the reliability of different streams of facial expression information utilizing multistream ...
In this paper, we present an automatic multistream HMM facial expression recognition system and analyze its performance. ...
HMMs, commonly used tool for automatic speech recognition, are utilized in this work as a classification approach. ...
doi:10.1109/tifs.2005.863510
fatcat:yeyfkcf6pveuhb2lsijdsn2jqe
Recognition of Tomato Late Blight by using DWT and Component Analysis
2017
International Journal of Electrical and Computer Engineering (IJECE)
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Plant disease recognition concept is one of the successful and important applications of image processing and able to provide accurate and useful information to timely prediction and control of plant diseases ...
data processing and classification. ...
Toran Verma, Assistant Professor, Department of Computer Science Engineering and Technology, Bhilai, Chattisgarh, India, for his help in taking the images used in the study. ...
doi:10.11591/ijece.v7i1.pp194-199
fatcat:u4pc7ouceffldigixve5v6u4ca
Dynamics of facial expression extracted automatically from video
2006
Image and Vision Computing
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We present a systematic comparison of machine learning methods applied to the problem of fully automatic recognition of facial expressions, including AdaBoost, support vector machines, and linear discriminant ...
The outputs of the classifier change smoothly as a function of time and thus can be used for unobtrusive motion capture. ...
The recognition system presented here performs well without that step, providing a considerable savings in processing time. ...
doi:10.1016/j.imavis.2005.09.011
fatcat:4f4zxodagrh4lbuy5nyom5bzdm
A Novel Framework for Multi-Classification of Guava Disease
2021
Computers Materials & Continua
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In this research, a new technique was created to detect guava plant diseases using image processing techniques and computer vision. ...
The local binary pattern (LBP) was used for the extraction of features, and principal component analysis (PCA) was used for dimensionality reduction. ...
Feature extraction methods are useful and proved to be very helpful in image processing application like face recognition, character recognition etc. ...
doi:10.32604/cmc.2021.017702
fatcat:rwv7zw6ktvbm7hs4ur4zsz3pce
Real time Processor for the Authentication of Affected Herbal Medicinal Leaves Using Image Processing Techniques- Review
2018
International Journal of Trend in Scientific Research and Development
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The proposed system uses image processing technique for image segmentation and feature extraction. The dataset includes 100 leaves of 10 different species. ...
This paper focuses on the study and identification of unaffected leaves based on automated leaf recognition system. ...
We wish to thank our project guide Mr.Jegan Antony Marcilin for encouraging us to do the work and giving us certain inputs when required. Finally we like to thank our parents and our friends. ...
doi:10.31142/ijtsrd14545
fatcat:duwp6kpjzzbgvhqx2ow74bqq5a
Visual Speech Recognition Using PCA Networks and LSTMs in a Tandem GMM-HMM System
[chapter]
2017
Lecture Notes in Computer Science
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Finally, the obtained features are used in a tandem GMM-HMM system for speech recognition. ...
Automatic visual speech recognition is an interesting problem in pattern recognition especially when audio data is noisy or not readily available. ...
This work was supported by TUBITAK project number 113E067 and by a Marie Curie FP7 Integration Grant within the 7th EU Framework Programme. ...
doi:10.1007/978-3-319-54427-4_20
fatcat:gzzpncjwnnatbjfq6bg5nitafe
PCA-Based Recognition for Efficient Inpainting
[chapter]
2006
Lecture Notes in Computer Science
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After a robust registration procedure, building regions blocked by trees, signs, people, and other foreground objects are automatically inferred via the median absolute deviation of colors from different ...
We present a technique for efficiently constructing a "clean" texture map of a partially occluded building facade from a series of images taken by a moving camera. ...
(a) Result of timeline inpainting using SSD measure; (b) Result of timeline inpainting using the PCA-based recognition scheme. ...
doi:10.1007/11612032_22
fatcat:dd34r2dtefafvb3j4dptnx5dbq
Lung Cancer Detection from X-ray images by combined Backpropagation Neural Network and PCA
2021
Engineering and Technology Journal
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The objective of this study is to design an automated system with an ability to improve the detection process in order to perform advanced recognition of the disease. ...
X-ray is the common and low-cost technique that is widely used and it is relatively available for everyone. ...
This result proved that the using of PCA can improve the recognition of ANN in both times requested and accuracy as well as the computational requirement for these processes even with high input nodes ...
doi:10.30684/etj.37.5a.3
fatcat:qxt5sdtojrbetglyi5v776es4i
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