2012 Third International Conference on Computer and Communication Technology最新文献

Automatic Critical Health Care Service System Using Wireless Communication, Positioning and/or RF ID 使用无线通信、定位和/或射频识别的自动关键医疗保健服务系统

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.39

A. Kumar

引用次数: 1

An Illumination Invariant Robust and Fast Face Detection, Feature Extraction Based Face Recognition System 基于光照不变鲁棒快速人脸检测、特征提取的人脸识别系统

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.30

Priyanka Goel, S. Agarwal

{"title":"An Illumination Invariant Robust and Fast Face Detection, Feature Extraction Based Face Recognition System","authors":"Priyanka Goel, S. Agarwal","doi":"10.1109/ICCCT.2012.30","DOIUrl":"https://doi.org/10.1109/ICCCT.2012.30","url":null,"abstract":"This paper proposes a fast and efficient approach for face recognition under non uniform illumination variations. Robust Haar classifiers technique is used for face detection from an image. Since illumination variations lie in low frequency DCT coefficients, illumination variations is removed from detected face by rescaling down an appropriate number of low frequency DCT coefficients while still preserving important facial features. Further, since, important facial features are concentrated in small number of DCT coefficients, face feature vector is generated by discarding high frequency coefficients. K-means clustering is employed to reduce search space complexity. Face recognition is performed by comparing feature vector of test image with feature vector of images in the closest matching cluster using Euclidean distance. Experimental results on Yale database, Caltech database, IMM database and Extended Yale face database B show that the proposed approach improves face recognition rate upto 100% along with significantly reduced search space complexity and low computational cost. Equal error rate (EER) is acquired by plotting false acceptance rate (FAR) and false reject rate (FRR) against different threshold values.","PeriodicalId":235770,"journal":{"name":"2012 Third International Conference on Computer and Communication Technology","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125139110","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

Mouse Cursor Control System Based on Facial Electromyogram and Mechanomyogram 基于面肌电图和肌力图的鼠标光标控制系统

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.26

S. Kaushik, N. M. Kakoty

引用次数: 0

Forensic Analysis of E-mail Date and Time Spoofing 电子邮件日期和时间欺骗的法医分析

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.69

P. Mishra, E. Pilli, R. Joshi

引用次数: 7

Non-uniform Spectrum Sensing Using Computationally Efficient 2-level (FFT-Goertzel) Based Energy Detection 基于计算效率的2级(FFT-Goertzel)能量检测的非均匀频谱传感

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.52

P. V. Bhatt, Vijay Kumar Chakka

引用次数: 2

Image Mining: A New Approach for Data Mining Based on Texture 图像挖掘:一种基于纹理的数据挖掘新方法

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.11

M. Sahu, M. Shrivastava, M. Rizvi

引用次数: 21

RBF Neural Network Modeling of Rectangular Microstrip Patch Antenna 矩形微带贴片天线的RBF神经网络建模

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.56

M. Aneesh, J. A. Ansari, A. Singh, K. Kamakshi, S. Verma

引用次数: 14

A Perceptually Motivated Multi-Band Spectral Subtraction Algorithm for Enhancement of Degraded Speech 基于感知动机的多频带频谱减法增强退化语音

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.75

Navneet Upadhyay, A. Karmakar

{"title":"A Perceptually Motivated Multi-Band Spectral Subtraction Algorithm for Enhancement of Degraded Speech","authors":"Navneet Upadhyay, A. Karmakar","doi":"10.1109/ICCCT.2012.75","DOIUrl":"https://doi.org/10.1109/ICCCT.2012.75","url":null,"abstract":"The spectral subtraction method is a classical approach for enhancement of degraded speech. The basic principle of this technique is to estimate the short-time spectral magnitude of speech by subtracting estimated noise from the noisy speech spectrum and to combine it with the phase of the noisy speech. Besides reducing the noise, this method generates an unnatural and unpleasant noise, called remnant noise. The other drawback of this method is that it can work only for white Gaussian noise which has a flat spectrum and is distributed uniformly over the frequency spectrum. But real-world noise is mostly colored and has a non-uniform spectrum. To take care of this kind of noises, spectral subtraction algorithm has been extended to a multi-band case with uniformly spaced frequency bands. In this paper, a perceptually motivated multi-band spectral subtraction algorithm is proposed to enhance the speech signal degraded by colored noise. In the proposed scheme, the whole speech spectrum is divided in different non-uniform bands (N = 6) in accordance to the critical-band rate scale and spectral subtraction is executed independently in each band. The simulation results as well as informal subjective evaluations show that the proposed algorithm reduces remnant noise efficiently and the enhanced speech contains minimal speech distortions with improved signal-to-noise ratio.","PeriodicalId":235770,"journal":{"name":"2012 Third International Conference on Computer and Communication Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130195955","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

Detection and Classification of Apple Fruit Diseases Using Complete Local Binary Patterns 利用完全局部二值模式检测和分类苹果果实病害

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.76

S. Dubey, A. S. Jalal

引用次数: 198

A Comparative Study on DFA-Based Pattern Matching for Deep Packet Inspection 基于dfa的深度包检测模式匹配比较研究

2012 Third International Conference on Computer and Communication Technology Pub Date : 2012-11-23 DOI: 10.1109/ICCCT.2012.59

R. Lenka, P. Ranjan

引用次数: 14