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Individuality Representation in Character Recognition

Bayan Omar
2015 Journal of University of Human Development  
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

Hyosook JUNG, Seongbin PARK
2010 Studies in Informatics and Control  
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

Zhenzhong Wei, Chang Liu, Nan Li
2014 Chinese Journal of Aeronautics  
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]

Shaohua Pang, Yilong Yin, Gongping Yang, Yanan Li
2012 Lecture Notes in Computer Science  
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

Ulf Grenander
1969 Quarterly of Applied Mathematics  
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

K. Hayworth, X. Yue, I. Biederman
2010 Journal of Vision  
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

Chih-Ming Liao, Ping S. Huang, Chung-Cheng Chiu, Yi-Yuh Hwang
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
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

David McG. Squire, Terry M. Caelli
2000 Computer Vision and Image Understanding  
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]

Bernard Haasdonk, Hans Burkhardt
2008 Studies in Classification, Data Analysis, and Knowledge Organization  
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

G. Mallikarjuna Rao, G. R. Babu, G. Vijaya Kumari
2007 Journal of Computer Science  
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

Poorva Agrawal
2018 Zenodo  
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]

Frank Nielsen
2013 Lecture Notes in Computer Science  
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

Neil A. Thacker, John E.W. Mayhew
1990 Neural Networks  
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

Aree Ali, Bayan Omer
2016 Computer and Information Science  
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

Rasmus Lyngby Kristensen, Zheng-Hua Tan, Zhanyu Ma, Jun Guo
2015 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)  
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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