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

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A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech 基于图形模型的VoIP语音丢失识别解码器
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.71
Anupam Mandal, K. R. P. Kumar, G. Athithan, C. Sekhar
{"title":"A Graphical Model Based Decoder for Recognition of Loss-concealed VoIP Speech","authors":"Anupam Mandal, K. R. P. Kumar, G. Athithan, C. Sekhar","doi":"10.1109/ICAPR.2009.71","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.71","url":null,"abstract":"In the recognition of Voice Over Internet Protocol(VoIP) speech, packet losses pose a challenge that is generally addressed by packet loss concealment (PLC)techniques. But improper concealment by these PLC techniques result in unreliable observations that contribute adversely to the Viterbi decoding step and result in misrecognitions. We propose a graphical model based decoding architecture that can skip unreliable observations and hence the corresponding states, so that recognition accuracy improves in spite of improper concealment. Experimental validation of the proposed skip decoder is carried out using the loss-concealed speech samples of isolated words. Results indicate the efficacy of the skip decoder in the improvement of the recognition accuracy for different lengths of burst losses and different PLC schemes.","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":"114274285","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
Binary Particle Swarm Optimization Based Algorithm for Feature Subset Selection 基于二元粒子群优化的特征子集选择算法
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.111
B. Chakraborty
{"title":"Binary Particle Swarm Optimization Based Algorithm for Feature Subset Selection","authors":"B. Chakraborty","doi":"10.1109/ICAPR.2009.111","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.111","url":null,"abstract":"The feature subset selection  can be considered as a global combinatorial optimization problem in which the   optimum subset of features is selected from a large set of features. Lots of techniques have developed so far, still research is going on to find better solution in terms of optimality and computational ease. In this work  an algorithm based on binary particle swarm optimization (bPSO) is proposed for feature subset selection. From simple simulation experiments  it has been found that bPSO based algorithm performs well and computationally less demanding than genetic algorithm, another  population based evolutionary search technique.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"21 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":"117270416","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: 10
Multisensor Biometric Evidence Fusion for Person Authentication Using Wavelet Decomposition and Monotonic-Decreasing Graph 基于小波分解和降噪图的多传感器证据融合
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.15
D. Kisku, J. Sing, M. Tistarelli, Phalguni Gupta
{"title":"Multisensor Biometric Evidence Fusion for Person Authentication Using Wavelet Decomposition and Monotonic-Decreasing Graph","authors":"D. Kisku, J. Sing, M. Tistarelli, Phalguni Gupta","doi":"10.1109/ICAPR.2009.15","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.15","url":null,"abstract":"This paper presents a novel biometric sensor generated evidence fusion of face and palmprint images using wavelet decomposition for personnel identity verification. The approach of biometric image fusion at sensor level refers to a process that fuses multispectral images captured at different resolutions and by different biometric sensors to acquire richer and complementary information to produce a new fused image in spatially enhanced form. When the fused image is ready for further processing, SIFT operator are then used for feature extraction and the recognition is performed by adjustable structural graph matching between a pair of fused images by searching corresponding points using recursive descent tree traversal approach. The experimental result shows the efficacy of the proposed method with 98.19% accuracy, outperforms other methods when it is compared with uni-modal face and palmprint authentication results with recognition rates 89.04% and 92.17%, respectively and when all the methods are processed in the same feature space.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"48 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":"121741374","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: 46
A Novel Approach to Corner Matching Using Fuzzy Similarity Measure 一种基于模糊相似度测度的角点匹配新方法
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.48
A. Dutta, A. Kar, B. N. Chatterji
{"title":"A Novel Approach to Corner Matching Using Fuzzy Similarity Measure","authors":"A. Dutta, A. Kar, B. N. Chatterji","doi":"10.1109/ICAPR.2009.48","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.48","url":null,"abstract":"Corner matching in sequence images serves as a building block of several important applications of stereo vision. In this paper, we establish the corner correspondence between two images in the presence of intensity variations and motion blur by using a fuzzy theory based similarity measure. The matching approach proposed by us needs to extract set of corner points as candidates from both the frames. Experiments conducted with the help of various sequences of images prove the superiority of our algorithm over standard cross correlation and sum of absolute difference under non-ideal conditions.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"33 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":"126654201","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
Robust Watermarking Using Distributed MR-DCT and SVD 基于分布式MR-DCT和SVD的鲁棒水印
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.19
G. Bhatnagar, B. Raman
{"title":"Robust Watermarking Using Distributed MR-DCT and SVD","authors":"G. Bhatnagar, B. Raman","doi":"10.1109/ICAPR.2009.19","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.19","url":null,"abstract":"In this paper, a robust watermarking scheme is proposed for copyright protection using Distributed multi resolution discrete cosine transform(D-MR-DCT) and singular value decomposition. The core idea of the proposed scheme is to decompose an image into four frequency sub-bands using D-MR-DCT and then singular values of every sub-band are modified with the singular values of the watermark. The experimental results show better visual imperceptibility and resiliency of the proposed scheme against intentional or unintentional variety of attacks.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"30 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":"124912407","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: 4
Discrete Curve Evolution Based Skeleton Pruning for Character Recognition 基于离散曲线进化的骨架剪枝字符识别
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.63
Binu P. Chacko, P. B. Anto
{"title":"Discrete Curve Evolution Based Skeleton Pruning for Character Recognition","authors":"Binu P. Chacko, P. B. Anto","doi":"10.1109/ICAPR.2009.63","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.63","url":null,"abstract":"This paper deals with the recognition of handwritten Malayalam characters using discrete features. The features are extracted from skeletonizsed images. But the presence of parasitic components in the image will degrade the performance of the pattern recognition system. So there arise needs for a pruning method to produce skeletons that are in accordance with human visual perception. The skeleton pruning by contour portioning with discrete curve evolution (DCE) showed that it never produce spurious branches. Moreover, this method doesn’t displace skeleton points. Consequently, all skeleton points are centers of maximal disks. Even in the presence of significant noise and shape variations, this approach gave same topology as that of original skeletons. As a result, we have obtained excellent results in feature extraction which in turn gave a better recognition accuracy of 90.18 percent for 33 classes.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"39 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":"128450312","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: 20
Feature Level Fused Ear Biometric System 特征级融合耳生物识别系统
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.27
G. Badrinath, Phalguni Gupta
{"title":"Feature Level Fused Ear Biometric System","authors":"G. Badrinath, Phalguni Gupta","doi":"10.1109/ICAPR.2009.27","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.27","url":null,"abstract":"In this paper, a feature-level fusion approach for improving the efficiency of ear image verification is proposed. SIFT is used to extract the features on a ear images at different pose, which is then merged according to a fusion rule to produce a single feature called the Fused Template. The similarity of SIFT extracted features of the live image and the enrolled user template in the database is measured by their Euclidean distance. IITK database is used to validate the performance of the proposed method. Comparing to non-fusion approach the fusion approach performs better in verification.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"2013 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":"127420799","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: 28
Raster-to-Vector Conversion: Problems and Tools Towards a Solution A Map Segmentation Application 光栅到矢量转换:解决地图分割应用的问题和工具
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.96
V. Lacroix
{"title":"Raster-to-Vector Conversion: Problems and Tools Towards a Solution A Map Segmentation Application","authors":"V. Lacroix","doi":"10.1109/ICAPR.2009.96","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.96","url":null,"abstract":"After the analysis of the problems a raster-to-vector (R2V) software can meet, a strategy involving a pre-processing, a clustering, a labeling and finally a vectorization phase is proposed. Much emphasis is put on the clustering and the labeling phases which depend on the pixel type (edge, line, or other). In particular, it is suggested to use the median-shift on all the pixels but the edgels to extract the main colors. Results are shown on scanned maps.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"194 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":"125857699","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: 10
Object Recognition in Presence of Blur from Fourier Transform Spectrum 傅立叶变换频谱中存在模糊的目标识别
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.20
M. Pohit
{"title":"Object Recognition in Presence of Blur from Fourier Transform Spectrum","authors":"M. Pohit","doi":"10.1109/ICAPR.2009.20","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.20","url":null,"abstract":"A new technique for recognition of objects in presence of blur is presented where the object features are chosen from the Fourier power spectrum on the locus of equal intensity points around the zero order spectrum. Here the property of 2D Fourier slice theorem and Fraunhofer distribution for 1D aperture is used to show that the spread of Fourier transform spectrum along any direction is related to the spread of the object along that direction. Computation is done on different intensity profiles to show the validity of the technique.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"26 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":"125936197","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
Long-Range Monsoon Rainfall Pattern Recognition and Prediction for the Subdivision 'EPMB' Chhattisgarh Using Deterministic and Probabilistic Neural Network 基于确定性和概率神经网络的恰蒂斯加尔邦“EPMB”分区的长期季风降雨模式识别和预测
2009 Seventh International Conference on Advances in Pattern Recognition Pub Date : 2009-02-04 DOI: 10.1109/ICAPR.2009.24
S. Karmakar, M. Kowar, P. Guhathakurta
{"title":"Long-Range Monsoon Rainfall Pattern Recognition and Prediction for the Subdivision 'EPMB' Chhattisgarh Using Deterministic and Probabilistic Neural Network","authors":"S. Karmakar, M. Kowar, P. Guhathakurta","doi":"10.1109/ICAPR.2009.24","DOIUrl":"https://doi.org/10.1109/ICAPR.2009.24","url":null,"abstract":"Attempts to predict long-range monsoon rainfall over the subdivision EPMB, Three layer perception feed forward back propagation deterministic and probabilistic artificial neural network models have been developed. 61 years data for 1945–2006 have been used, of which the first 51 years (1945–1995) of data are used for training the network and data for the period 1996–2006 are used independently for validation. We have found that the mean absolute deviation (% of mean) of the model is less than and half of the standard deviation (% of mean) in the independent period (1996-2006) of the subdivision in deterministic forecast. Correlation between actual and particular model predicted values are more than 0.8 for the districts and 0.7 for the whole subdivision in deterministic forecast. However performance of the model in probabilistic forecast is better evaluated over deterministic forecast. The models developed and their evaluations have been presented in this paper.","PeriodicalId":443926,"journal":{"name":"2009 Seventh International Conference on Advances in Pattern Recognition","volume":"23 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":"114771098","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
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