2014 First International Conference on Computational Systems and Communications (ICCSC)最新文献_第7页

A novel approach for multimodal face recognition system based on modular PCA 一种基于模块化PCA的多模态人脸识别方法

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032634

S. Parvathy, S. Naveen, R. Moni

{"title":"A novel approach for multimodal face recognition system based on modular PCA","authors":"S. Parvathy, S. Naveen, R. Moni","doi":"10.1109/COMPSC.2014.7032634","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032634","url":null,"abstract":"An efficient face recognition system should recognize faces in different views and poses. The efficiency of a human face recognition system depends on the capability of face recognition in presence of changes in the appearance of face due to expression, pose and illumination. A novel algorithm which utilizes the combination of texture and depth information based on Modular PCA to overcome the problem of pose variation and illumination change for face recognition is proposed. The system has combined 2D and 3D systems in the feature level which presents higher performance in contrast with methods which utilizes either 2D or 3D system separately. A multimodal face recognition based on Modular PCA when compared with conventional PCA algorithm has an improved recognition rate for face images with large variations in illumination and facial expression. The proposed algorithm is tested with FRAV3D database that has faces with pose variation and illumination changes. Recognition rates from experimental results show the superiority of Modular PCA over conventional PCA methods in tackling face images with different pose variations and changes in illuminations. The proposed algorithm shows a recognition rate of 86% that is achieved in fusion experiment.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116125784","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

Towards improving the performance of speaker recognition systems 提高说话人识别系统的性能

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032617

Neethu Johnson, Kuruvachan K. George, C. S. Kumar, P. Raj

{"title":"Towards improving the performance of speaker recognition systems","authors":"Neethu Johnson, Kuruvachan K. George, C. S. Kumar, P. Raj","doi":"10.1109/COMPSC.2014.7032617","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032617","url":null,"abstract":"This paper studies the contribution of different phones in speech data towards improving the performance of text/language independent speaker recognition systems. This work is motivated by the fact that the removal of silence segments from the speech data improves the system performance significantly as it does not contain any speaker-specific information. It is also clear from the literature that not all the phones in the speech data contains equal amount of speaker-specific information in it and the performance of the speaker recognition systems depends on this information. In addition to the silence segments, our work empirically finds 18 other diluent phones that has minimum speaker discrimination capability. We propose to use a preprocessing stage that identifies all non-informative set of phones recursively and removes them along with silence segments. Results show that using phones removed preprocessed data in state-of-the-art i-vector system outperforms the baseline i-vector system. We report absolute improvements of 1%, 1%, 2%, 2% and 1% in EER for test set collected through channels of Digital Voice Recorder, Headset, Mobile Phone 1, Mobile Phone 2 and Tablet PC respectively on IITG-MV database.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116824762","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 improved dual tree complex wavelet transform based image denoising using GCV thresholding 基于改进对偶树复小波变换的GCV阈值图像去噪

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032635

A. Varsha, P. Basu

{"title":"An improved dual tree complex wavelet transform based image denoising using GCV thresholding","authors":"A. Varsha, P. Basu","doi":"10.1109/COMPSC.2014.7032635","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032635","url":null,"abstract":"Noise suppression is an integral part of any image processing task Noise significantly degrades the image quality and hence makes it difficult for the observer to discriminate fine detail of the images especially in diagnostic examinations. Through decades of research, mass articles on image denoising have been proposed The effect of noise in the images can be reduced by using either spatial filtering or transform domain filtering. In transform domain wavelet method provide better denoising while preserving the details of images like edges. The Discrete Wavelet Transform (DWT) has some disadvantages that undetermined its application in image processing as lack of shift invariance and poor directional selectivity. In order to overcome these disadvantages Dual Tree Complex Wavelet Transform (DT-CWT) is used which provide perfect reconstruction over the traditional wavelet transform It employs 2 real DWTs; the first DWT gives the real part of the transform while second DWT gives the imaginary part. It is nearly shift invariant and directionally selective in two and higher dimensions with limited redundancy. The DTCWT outperforms the DWT for applications like image denoising and enhancement One of the advantages of the DTCWT is that it can be used to implement 2D wavelet transforms that are more selective with respect to orientation than is the 2D DWT. The 2D DTCWT produces twelve sub bands at each scale, each of which are strongly oriented at distinct angles. A Dual Tree Complex Wavelet transform based image denoising is proposed which uses generalized cross validation technique The denoising performance for different images using Discrete Wavelet Transform and Dual Tree Complex wavelet transform with different thresholding need to be evaluated Evaluation is carried out in terms of various parameters such as Peak Signal to Noise Ratio, mean Structural Similarity and Coefficient of Correlation.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171310","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

Reversible data hiding in selectively encrypted RGB images by reserving room in advance 可逆数据隐藏在选择性加密的RGB图像提前预留空间

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032681

K. J. Besteena, P. Joseph

{"title":"Reversible data hiding in selectively encrypted RGB images by reserving room in advance","authors":"K. J. Besteena, P. Joseph","doi":"10.1109/COMPSC.2014.7032681","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032681","url":null,"abstract":"Recently, more and more attention is paid to protect sensitive data transmitting across network. Currently, there are methods which use RDH with cover image also as information to transfer. To ensure confidentiality of cover image, it is encrypted and data hiding is done in encrypted image. In real-time scenarios we need to use color images as cover image and large amount of data to hide in image. The standard encryption methods which encrypt every bit of cover image waste large amount of time for encryption and decryption process. Our proposed methods use chaotic encryption to secure cover image which selectively encrypt some of the bits in image using confusion and diffusion methods. Since our method use RDH using reserving room in advance approach original cover can be losslessly recovered after extraction of embedded data. All the existing methods embed data by reversibly vacating room in the encrypted images. But these methods may result in some errors on image restoration and data extraction. In proposed method image recovery and data extraction are free of any error and achieves real reversibility.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127567721","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: 5

WSN technologies for low data rate and power constrained applications 用于低数据速率和功率限制应用的WSN技术

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032632

George Eldho John, Joaquim Ignatious Monteiro

引用次数: 4

An image authentication technique based on cross chaotic map 一种基于交叉混沌映射的图像认证技术

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032647

Rija M. Raju, K. Gopakumar

引用次数: 3

Random forest algorithm for improving the performance of speech/non-speech detection 提高语音/非语音检测性能的随机森林算法

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032615

Sincy V. Thambi, K. T. Sreekumar, C. S. Kumar, P. Raj

{"title":"Random forest algorithm for improving the performance of speech/non-speech detection","authors":"Sincy V. Thambi, K. T. Sreekumar, C. S. Kumar, P. Raj","doi":"10.1109/COMPSC.2014.7032615","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032615","url":null,"abstract":"Speech/non-speech detection (SND) distinguishes between speech and non-speech segments in recorded audio and video documents. SND systems can help reduce the storage space required when only speech segments from the audio documents are required, for example content analysis, spoken language identification, etc. In this work, we experimented with the use of time domain, frequency domain and cepstral domain features for short time frames of 20 ms. size along with their mean and standard deviation for segments of size 200 ms. We then analysed if selecting a subset of the features can help improve the performance of the SND system. Towards this, we experimented with different feature selection algorithms, and observed that correlation based feature selection gave the best results. Further, we experimented with different decision tree classification algorithms, and note that random forest algorithm outperformed other decision tree algorithms. We further improved the SND system performance by smoothing the decisions over 5 segments of 200 ms. each. Our baseline system has 272 features, a classification accuracy of 94.45 % and the final system with 8 features has a classification accuracy of 97.80 %.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129533816","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: 14

A robust novel method for face recognition from 2D depth images using DWT and DFT score fusion 一种基于DWT和DFT分数融合的二维深度图像人脸识别新方法

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032610

N. S, R. Moni

{"title":"A robust novel method for face recognition from 2D depth images using DWT and DFT score fusion","authors":"N. S, R. Moni","doi":"10.1109/COMPSC.2014.7032610","DOIUrl":"https://doi.org/10.1109/COMPSC.2014.7032610","url":null,"abstract":"Face recognition has been an area of interest among researchers in pattern recognition for the past few decades. Researches in face recognition are basically concentrated on texture based and geometry based features. The main advantage of Face recognition systems utilizing depth information is the availability of geometrical information of the face structure which is more or less unique for a subject. This paper focuses on the problems of person identification using 2D Face Depth data. Most of the face recognition systems are based on reconstruction of 3D shapes from the 2D depth data. But the reconstruction requires much more computation time. Further the use of unregistered 2D Face depth data significantly increases the operational speed of the system with huge database enrollment. In this work, the unregistered. 2D Face Depth data is fed to a classifier in multiple spectral representations. Discrete Wavelet Transform (DWT) and Discrete Fourier Transform (DFT) are used for the spectral representations. The face recognition accuracy obtained when the feature extractors are used individually, is evaluated. Fusion of the matching scores proves that the recognition accuracy can be improved significantly by fusion of scores of multiple representations. Robustness analysis which covers the FAR (False Acceptance Rate) and TRR (True Rejection Rate) is also done. FRAV3D database provided by Face recognition and artificial vision group of Universidad Rey Juan Carlos, Madrid Spain is used for testing the algorithm.","PeriodicalId":388270,"journal":{"name":"2014 First International Conference on Computational Systems and Communications (ICCSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130736006","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

Multiuser CDMA systems employing parity bit selected double spreading 采用奇偶位选择双扩展的多用户CDMA系统

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032616

Geethu Shaji, P. Haris

引用次数: 0

A low power CMOS current steering multivibrator VFC with full scale input 低功率CMOS电流转向多谐振荡器VFC与全量程输入

2014 First International Conference on Computational Systems and Communications (ICCSC) Pub Date : 2014-12-01 DOI: 10.1109/COMPSC.2014.7032653

Rooha Razmid Ahammed, Asst. Professor

引用次数: 0