发布求助
文献互助 智能选刊 最新文献

2009 Seventh International Conference on Advances in Pattern Recognition最新文献

筛选
英文 中文
A Novel Modified Polynomial Network Design for Dialect Recognition 一种用于方言识别的改进多项式网络设计
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.68
H. Patil, T. Basu
{"title":"A Novel Modified Polynomial Network Design for Dialect Recognition","authors":"H. Patil, T. Basu","doi":"10.1109/ICAPR.2009.68","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.68","url":null,"abstract":"In this paper, a new method of machine learning,viz., Modified Polynomial Networks (MPN) is proposed for the Dialect Recognition (DR) problem in an Indian language, viz., Marathi. The proposed algorithm for machine learning is interpreted as designing a neural network by viewing it as a curve-fitting (approximation) problem in a high-dimensional space with the help of Radial-Basis Functions (RBF)(polynomials expansion of feature vectors for the present problem). The experiments are shown for open set DR problem (training and testing of the machine done with the different sets of speakers of a particular dialectal zone) in Marathi for Mel Frequency Cepstral Coefficients (MFCC) and Subband Based Cepstral Coefficients (SBCC) (extracted usiing Daubechies wavelets of 8 vanishing moments, i.e., db8) as input cepstral feature vectors to the 2nd order modified polynomial networks.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126489513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Feature Extraction Using Gabor-Filter and Recursive Fisher Linear Discriminant with Application in Fingerprint Identification 基于gabor滤波和递归Fisher线性判别的特征提取及其在指纹识别中的应用
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.64
M. Dadgostar, P. Tabrizi, E. Fatemizadeh, H. Soltanian-Zadeh
{"title":"Feature Extraction Using Gabor-Filter and Recursive Fisher Linear Discriminant with Application in Fingerprint Identification","authors":"M. Dadgostar, P. Tabrizi, E. Fatemizadeh, H. Soltanian-Zadeh","doi":"10.1109/ICAPR.2009.64","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.64","url":null,"abstract":"Fingerprint is widely used in identification and verification systems. In this paper, we present a novel feature extraction method based on Gabor filter and Recursive Fisher Linear Discriminate (RFLD) algorithm, which is used for fingerprint identification. Our proposed method is assessed on images from the biolab database. Experimental results show that applying RFLD to a Gabor filter in four orientations, in comparison with Gabor filter and PCA transform, increases the identification accuracy from 85.2% to 95.2% by nearest cluster center point classifier with Leave-One-Out method. Also, it has shown that applying RFLD to a Gabor filter in four orientations, in comparison with Gabor filter and PCA transform, increases the identification accuracy from 81.9% to 100% by 3NN classifier. The proposed method has lower computational complexity and higher accuracy rates than conventional methods based on texture features.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128859458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 17
A Secure Steganographic Technique for Blind Steganalysis Resistance 抗盲隐写的安全隐写技术
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.54
M. Raval
{"title":"A Secure Steganographic Technique for Blind Steganalysis Resistance","authors":"M. Raval","doi":"10.1109/ICAPR.2009.54","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.54","url":null,"abstract":"A simple yet effective tactic for secure steganography is proposed in this paper that can resist the blind steganalysis. In this method author derives a matrix based on the image content and thus providing the security. This matrix is used by Quantization Index Modulation (QIM) based encoder and decoder. The embedding location of data is also randomized so as to immobilize the self calibration process. It is shown that detection rate of steganalysis scheme to proposed method is close to arbitrary speculation.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130141655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Colour and Multispectral Morphological Processing 颜色和多光谱形态学处理
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.109
J. Serra
{"title":"Colour and Multispectral Morphological Processing","authors":"J. Serra","doi":"10.1109/ICAPR.2009.109","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.109","url":null,"abstract":"The classical colour polar-based representations (HLS, HSV, etc.) lead to brightness and saturation with non consistent properties. The requirements for a correct quantitative colour polar representation are recalled. They lead to using norms, and in particular the L1 norm. Colour images are multivariable functions, and for segmenting them one must go through reducing step. It is classically obtained by calculating a gradient module,which is then segmented as a gray tone image. An alternative solution is proposed in the paper. It is based on separated segmentations, followed by final merging into a unique partition. The generalization of the top-hat transformation for extracting colour details is also considered. These new marginal colour operators take advantage of an adaptive combination of the chromatic and the achromatic (or the spectral and the spatio-geometric) colour components. Examples in feature extraction from geographical maps are given.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130146292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Graphic Symbol Recognition Using Auto Associative Neural Network Model 基于自动关联神经网络模型的图形符号识别
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.45
Mahesh Kumar Gellaboina, V. Venkoparao
{"title":"Graphic Symbol Recognition Using Auto Associative Neural Network Model","authors":"Mahesh Kumar Gellaboina, V. Venkoparao","doi":"10.1109/ICAPR.2009.45","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.45","url":null,"abstract":"Symbol recognition is a well-known problem in the field of graphics. A symbol can be defined as a structure within document that has a particular meaning in the context of the application. Due to their representational power, graph structures are usually used to represent line drawings images.An accurate vectorization constitutes a first approach to solve this goal. But vectorization only gives the segments constituting the document and their geometrical attributes.Interpreting a document such as P&ID (Process & Instrumentation)diagram requires an additional stage viz. recognition of symbols in terms of its shape. Usually a P&ID diagram contain several types of elements, symbols and structural connectivity. For those symbols that can be defined by a prototype pattern, we propose an iterative learning strategy based on Hopfield model to learn the symbols, for subsequent recognition in the P&ID diagram. In a typical shape recognition problem one has to account for transformation invariance. Here the transformation invariance is circumvented by using an iterative learning approach which can learn symbols with high degree of correlation.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130496749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 21
Shift Invariant Iris Feature Extraction Using Rotated Complex Wavelet and Complex Wavelet for Iris Recognition System 旋转复小波和复小波在虹膜识别系统中的移位不变特征提取
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.77
R. Bodade, S. Talbar
{"title":"Shift Invariant Iris Feature Extraction Using Rotated Complex Wavelet and Complex Wavelet for Iris Recognition System","authors":"R. Bodade, S. Talbar","doi":"10.1109/ICAPR.2009.77","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.77","url":null,"abstract":"In this paper, authors have proposed a novel approach of  feature extraction of iris images using combination of  2D Dual Tree Rotated Complex Wavelet Transform (RCWT) and 2D Dual Trace Complex Wavelet Transform(CWT). This method provides features in 12 directions against 3 and 6 directions in DWT and CWT respectively. Iris features are obtained by computing  energies and standard deviation of detailed coefficients in 12 directions per stage, at 3 levels of decomposition. Canberra distance is used for matching. The results are obtained using DWT, CWT combination of CWT and RCWT on UBIRIS database of 2400 images. The performance measure, ZeroFAR, is reduced from 6.3 using DWT to 2.7 using proposed method. The method is also computationally efficient as compared to Gabor Filters.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130547895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 23
Syntactic and Semantic Labeling of Hierarchically Organized Document Image Components of Indian Scripts 印度文字层次化文档图像成分的句法语义标注
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.88
Gaurav Harit, Ritu Garg, S. Chaudhury
{"title":"Syntactic and Semantic Labeling of Hierarchically Organized Document Image Components of Indian Scripts","authors":"Gaurav Harit, Ritu Garg, S. Chaudhury","doi":"10.1109/ICAPR.2009.88","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.88","url":null,"abstract":"In this paper we describe our document image analysis system which performs segmentation, content characterization as well as semantic labeling of components.  Segmentation is done using white spaces and gives the segmented components arranged in a hierarchy.  Semantic labeling is done using domain knowledge which is specified where possible in the form of a document model applicable to a class of documents.  The novelty of the system lies in the suite of methods it employs which are capable of handling documents in Indian scripts.  We have obtained promising results for semantic segmentation of over 30 categories of documents in Indian scripts.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131175075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
An Effective Edge Detection Methodology for Medical Images Based on Texture Discrimination 基于纹理识别的医学图像边缘检测方法
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.44
Sivaram V. Thangam, K. Deepak, Harikrishna G. N. Rai, P. Mirajkar
{"title":"An Effective Edge Detection Methodology for Medical Images Based on Texture Discrimination","authors":"Sivaram V. Thangam, K. Deepak, Harikrishna G. N. Rai, P. Mirajkar","doi":"10.1109/ICAPR.2009.44","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.44","url":null,"abstract":"As medical images are fuzzy, edge detection based on texture characteristics is comparatively effective than intensity based techniques. A new methodology is described for texture edge detection in medical images that is applicable across modalities. We use a multi-scale filter to capture texture edge information. An experimental prototype based on the proposed methodology provides a test bed for comparison with a popular edge detection technique.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132535813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
High Performance On-line Session-adaptation for Handling Inter-session Speaker Variability in Variable-text Speaker-recognition 可变文本说话人识别中处理会话间说话人变化的高性能在线会话自适应
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.87
S. Thiyagarajan, V. Ramasubramanian
{"title":"High Performance On-line Session-adaptation for Handling Inter-session Speaker Variability in Variable-text Speaker-recognition","authors":"S. Thiyagarajan, V. Ramasubramanian","doi":"10.1109/ICAPR.2009.87","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.87","url":null,"abstract":"We propose an on-line session-adaptation algorithm for making variable-text speaker-recognition systems robust to inter-session variability, by a continuous update of registered speakers' multiple templates from test utterances during actual usage of the system. The algorithm is set in a speaker-verification mode of operation and uses an enhanced verification step to ensure reliable selection of input utterances for template updation in an unsupervised way.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123815601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised Change Detection of Remotely Sensed Images Using Fuzzy Clustering 基于模糊聚类的遥感图像无监督变化检测
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.82
Susmita K. Ghosh, N. S. Mishra, Ashish Ghosh
{"title":"Unsupervised Change Detection of Remotely Sensed Images Using Fuzzy Clustering","authors":"Susmita K. Ghosh, N. S. Mishra, Ashish Ghosh","doi":"10.1109/ICAPR.2009.82","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.82","url":null,"abstract":"In this paper two fuzzy clustering algorithms, namely Fuzzy C-Means (FCM) and Gustafson Kessel Clustering (GKC), have been used for detecting changes in multitemporal remote sensing images. Change detection maps are obtained by separating the pixel-patterns of the difference image into two groups. To show the effectiveness of the proposed technique, experiments are conducted on three multispectral and multitemporal images. Results are compared with those of existing Marko Random Field (MRF) & neural network based algorithms and found to be superior. The proposed technique is less time-consuming and unlike MRF do not need any a priori knowledge of distribution of changed and unchanged pixels (as required by MRF).","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122340673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信