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Individuality Representation in Character Recognition
2015
Journal of University of Human Development
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The task of recognition that is based on handwriting characters in the Kurdish language is an interesting study in the area of computer vision and pattern recognition. ...
In the past couple of years, numerous state-of-the-art techniques and methods have been created for pattern recognition. ...
Feature Extraction Methods for Character Recognition-A Survey " Pattern Recognition vol , no. , -. [ ] H. Takahashi ( ). A ...
doi:10.21928/juhd.v1n2y2015.pp300-305
fatcat:wfednq5lofcd5osmm3pem4bgvq
Pattern Searching in a Social Network
2010
Studies in Informatics and Control
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Since it requires computationally intensive work, we construct a small-scale Grid environment based on JXTA technologies in order to preprocess and recognize patterns in different networks. ...
It exploits structural properties of a social network using geometric hashing that has been used in modelbased recognition. ...
The query pattern in figure 1 has one in-link, two out-links and one pair-link. The steps for recognition are as follows. 1. It constructs a pattern of a query node. ...
doi:10.24846/v19i2y201002
fatcat:t4ucglfmynfezn62ixqqybbosm
Weighted Marginal Fisher Analysis with Spatially Smooth for aircraft recognition
2014
Chinese Journal of Aeronautics
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with Spatially Smooth (WMFA-SS) for extracting invariant features in aircraft recognition is proposed. ...
Due to limitations to extract invariant features for recognition when the aircraft presents various poses and lacks enough samples for training, a novel algorithm called Weighted Marginal Fisher Analysis ...
Zhang Guangjun for discussions and Ge Guangyi for preparing data. We also thank the anonymous reviewers for their critical and constructive review of the manuscript. ...
doi:10.1016/j.cja.2013.12.014
fatcat:4gvlg65vtzc7lmrfw4752snqxe
Rotation Invariant Finger Vein Recognition
[chapter]
2012
Lecture Notes in Computer Science
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However, these methods usually suppose the database is non-rotated or slightly rotated, which are strict for preprocessing stages, especially for capture. ...
databases compared with pattern binary based method like LBP. ...
Feature Extraction and Matching After preprocessing, SIFT [9] will be used for feature extraction and matching. The reason that we choose this algorithm is the vantage in rotation-invariance. ...
doi:10.1007/978-3-642-35136-5_19
fatcat:kxssh2f4rraghfpwn7q5c6lwxa
Foundations of pattern analysis
1969
Quarterly of Applied Mathematics
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j( Likelihood recognition would be attained by choosing that pure image for which L(7) is as large as possible. ...
isider the recognition junction a. a) for a given deformed image 7D choose the pure pattern (P" £ (P = 3/G jor which 8(1, 7D), 7 G (P, , is minimized (the minimum is assumed to be attained for a unique ...
doi:10.1090/qam/250791
fatcat:e75p346rz5d27jyleyxddxuh3a
Some tests of the standard model
2010
Journal of Vision
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We simulated HMAX on several match-to-sample trials by obtaining output vectors for each image. We took the correlation between these output vectors as the model's measure of visual similarity. ...
"Neocognitron: a self organizing neural network model for a mechanism of pattern recognition unaffected by shift in position." Biol Cybern 36(4): 193-202. Serre, T., M. Kouh, et al. (2005). ...
doi:10.1167/7.9.924
fatcat:mhnqkiuk7ragnahfwxdy662inm
Personal identification by extracting SIFT features from laser speckle patterns
2012
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Accurate identification is achieved by developing an invariant speckle capturing device and recognition criteria. ...
Experimental results show that optical speckle pattern of a given material is invariant after slight movement and the patterns captured from different areas of the same material are distinct. ...
To keep the speckle pattern invariant and reduce the variation of relative difference of optical phase is essential for image recognition. ...
doi:10.1109/icassp.2012.6288138
dblp:conf/icassp/LiaoHCH12
fatcat:qgickptjqnbapbvrrrptwn5v3y
Invariance Signatures: Characterizing Contours by Their Departures from Invariance
2000
Computer Vision and Image Understanding
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Experiments demonstrate that Invariance Signature networks can be employed successfully for shift-, rotation-and scale-invariant optical character recognition. ...
It is shown that a Model-Based Neural Network (MBNN) [8, 37] can be constructed which computes the Invariance Signature of a contour, and classies patterns on this basis. ...
The Invariance Signature provides a means of realizing this goal.
PRIOR METHODS FOR INVARIANT PATTERN RECOGNITION A large number of techniques for invariant pattern recognition has been proposed. ...
doi:10.1006/cviu.2000.0809
fatcat:xb7utpdb5jdwvfimq6saoetadu
Classification with Invariant Distance Substitution Kernels
[chapter]
2008
Studies in Classification, Data Analysis, and Knowledge Organization
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Kernel methods offer a flexible toolbox for pattern analysis and machine learning. ...
A general class of kernel functions which incorporates known pattern invariances are invariant distance substitution (IDS) kernels. ...
We conclude that these kernels indeed can be valuable tools for general pattern recognition problems with known invariances. ...
doi:10.1007/978-3-540-78246-9_5
fatcat:mgng6pwcf5afvizgjkjbyvag7y
Lizard Learning Algorithm for Invariant Pattern Recognition
2007
Journal of Computer Science
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The results are most pleasing compared to conventional classifiers for the invariant features. ...
The Lizard Learning Algorithm (LLA) was proposed for tracking invariant features which uses modified slow feature analysis. ...
These techniques are suitable for implementing the invariant pattern recognition. ...
doi:10.3844/jcssp.2007.84.87
fatcat:igheleoxbvewlkle7xi5kyrzfi
Literature Survey On Sparse Representation For Neural Network Based Face Detection And Recognition
2018
Zenodo
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Circuits and Systems: An International Journal (CSIJ) ISSN : 2349 - 2171 Article Title: LITERATURE SURVEY ON SPARSE REPRESENTATION FOR NEURAL NETWORK BASED FACE DETECTION AND RECOGNITION Raviraj Mane,Poorva ...
In this paper, we reviewed some of the recent research works on face recognition. ...
In this paper, we reviewed some of the recent research works on face recognition .We classified face recognition approaches using knowledge based methods, feature invariant method, template based methods ...
doi:10.5281/zenodo.1294955
fatcat:3hyuzc7ggzaknm2ymlkhrmo3te
Pattern Learning and Recognition on Statistical Manifolds: An Information-Geometric Review
[chapter]
2013
Lecture Notes in Computer Science
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We review the information-geometric framework for statistical pattern recognition: First, we explain the role of statistical similarity measures and distances in fundamental statistical pattern recognition ...
Finally, we conclude with further perspectives on how "geometric thinking" may spur novel pattern modeling and processing paradigms. ...
Supervised pattern recognition When we are given beforehand a training set of properly labeled (or annotated) patterns, and seek to classify incoming online patterns, we may choose to label that query ...
doi:10.1007/978-3-642-39140-8_1
fatcat:g5cxsyc6q5gpdnme6ijoe7omuq
Designing a layered network for context sensitive pattern classification
1990
Neural Networks
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Many pattern recognition problems in the real world are complicated by noise and imperfect data. ...
One possible solution to this problem would require a multi-layered pattern classifying network with feedback mechanisms. ...
By choosing pairwise relationships, for example the angle between any pair of lines, we obtain measures which are invariant under translation and rotation. ...
doi:10.1016/0893-6080(90)90072-s
fatcat:bcrfcx6vnfbjjhwhxc67hc6i2i
Invarianceness for Character Recognition Using Geo-Discretization Features
2016
Computer and Information Science
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In other hand, to obtain efficient and accurate recognition rely on off-line English handwriting character, the similarity in the character traits is an important issue to be differentiated in an off-line ...
] with the decrease of the similarity error for inter-class [different character]. ...
Geometric Moment is used in object recognition and pattern recognition applications. ...
doi:10.5539/cis.v9n2p1
fatcat:o2zowndcm5fpdgvqflrekd5pr4
Binary pattern flavored feature extractors for Facial Expression Recognition: An overview
2015
2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
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Lastly, it studies the facial expression recognition accuracy and blur invariance of the Local Frequency Descriptor. ...
This paper conducts a survey of modern binary pattern flavored feature extractors applied to the Facial Expression Recognition (FER) problem. ...
Such a study would provide arguments for choosing one type of input data over another.
VI. ...
doi:10.1109/mipro.2015.7160445
dblp:conf/mipro/KristensenTMG15
fatcat:nhjkntehfnd5rooeorchj44zau
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