2009 IEEE International Conference on Signal and Image Processing Applications最新文献

Simple and effective techniques for core-region detection and slant correction in offline script recognition 脱机文字识别中简单有效的核心区域检测和倾斜校正技术

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478628

A. Rehman, Dzulkifli Mohammad, G. Sulong, T. Saba

{"title":"Simple and effective techniques for core-region detection and slant correction in offline script recognition","authors":"A. Rehman, Dzulkifli Mohammad, G. Sulong, T. Saba","doi":"10.1109/ICSIPA.2009.5478628","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478628","url":null,"abstract":"This paper presents two new preprocessing techniques for cursive script recognition. Enhanced algorithms for core-region detection and effective uniform slant angle estimation are proposed. Reference lines composed of core-region are usually obtained as the ones surrounding highest density peaks, but are strongly affected by the presence of long horizontal strokes and erratic characters in the word. Therefore, it caused confusion with the actual core-region and leads to decisive errors in normalizing the word. To overcome this problem in core-region detection quantile is introduced to make resulting process robust. On the other hand, research community has introduced computationally heavy approaches to remove slant in cursive script. Therefore, a simple formalized and effective method is presented for the detection and removal of slant angle for offline cursive handwritten words to avoid heavy experimental efforts. Additionally, already not-slanted words are not affected negatively by applying this algorithm. The core-region detection is based on statistical features, while slant angle estimation is based on structure features of the word image. The algorithms are tested on IAM benchmark database of cursive handwritten words. Promising results for core-region detection, slant angle estimation/removal are reported and compared with widely applied Bozinovic and Srihari method (BSM).","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131704462","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: 39

Agricultural produce Sorting and Grading using Support Vector Machines and Fuzzy Logic 基于模糊逻辑和支持向量机的农产品分类与分级

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478684

N.B.A. Mustafa, S. K. Ahmed, Z. Ali, W. B. Yit, A. Abidin, Z. Sharrif

{"title":"Agricultural produce Sorting and Grading using Support Vector Machines and Fuzzy Logic","authors":"N.B.A. Mustafa, S. K. Ahmed, Z. Ali, W. B. Yit, A. Abidin, Z. Sharrif","doi":"10.1109/ICSIPA.2009.5478684","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478684","url":null,"abstract":"Agriculture sector was accorded a very different treatment in the Ninth Malaysia Plan (9MP) where this sector is being revitalized to become a part of the economic growth engine. The Information and Communication Technology (ICT) application is going to be implemented as a solution in improving the status of the agriculture sector. The idea of integrating ICT with agriculture sector motivates the development of an automated system for sorting and grading of agriculture produce. Currently, the grading is done based on observations and through experience. The developed system starts the grading process by capturing the fruit's image using a regular digital camera or mobile phone camera. Then, the image is transmitted to the processing level where feature extraction, classification and grading is done using MATLAB. In this paper, the focus is more on agricultural produce Sorting and Grading technique. The agricultural produce is classified based on fruit shape and size using Support Vector Machines (SVMs) and its grade is determined using Fuzzy Logic (FL) approach. The results obtained are very promising.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125743784","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: 54

Classification of infant cries with hypothyroidism using Multilayer Perceptron neural network 基于多层感知器神经网络的甲状腺功能减退婴儿哭声分类

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478608

A. Zabidi, W. Mansor, L. Khuan, I. Yassin, R. Sahak

引用次数: 18

An efficient and robust pitch marking algorithm on the speech waveform for TD-PSOLA TD-PSOLA语音波形的高效鲁棒基音标记算法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478685

A. Chalamandaris, P. Tsiakoulis, S. Karabetsos, S. Raptis

引用次数: 11

A hybrid method for whole-frame error concealment 一种全帧误差隐藏的混合方法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478687

Jun-Hyung Kim, Jong-Woo Han, Sung-Hyun Cheon, S. Baek, S. Ko

引用次数: 4

A new approach for off-line handwritten Arabic word recognition using KNN classifier 基于KNN分类器的离线手写阿拉伯词识别新方法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478620

J. AlKhateeb, F. Khelifi, Jianmin Jiang, S. Ipson

引用次数: 28

Least square algorithm for sea surface salinity retrieving from MODIS satellite data MODIS卫星海面盐度反演的最小二乘算法

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478707

M. Marghany

引用次数: 4

Sensing period considerations in fading environment for multimedia delivery in cognitive Ultra Wideband system 认知超宽带系统中多媒体传输衰落环境下的感知周期考虑

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478712

R. Rashid, N. Aripin, N. Fisal, S. Yusof

{"title":"Sensing period considerations in fading environment for multimedia delivery in cognitive Ultra Wideband system","authors":"R. Rashid, N. Aripin, N. Fisal, S. Yusof","doi":"10.1109/ICSIPA.2009.5478712","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478712","url":null,"abstract":"Spectrum scarcity and the inefficiency in its usage have necessitates the use of Cognitive Radio (CR) technology to exploit the existing wireless spectrum opportunistically. Spectrum sensing is a critical component of CR as it is a fundamental requirement that a cognitive user (CU) continuously senses the channel before accessing it to avoid causing interference to the primary user (PU) and other radio systems. Due to its low transmit power, detection of PU in a fading environment for an Ultra Wideband (UWB) system is a key problem. This paper presents preliminary works in determining the appropriate sensing period for the cognitive UWB that support multimedia delivery. Firstly, the proposed cross-layer design for multimedia transmission is presented. Next, simulations of bit-error-rate (BER), packet-error-rate (PER) and job-failure-rate (JFR) were carried out to determine the optimal signal-to-ratio (SNR) range to meet the Quality-of-Service (QoS) requirement set for video application. Lastly, the performance of probability of detection against SNR is studied to estimate the appropriate time slot allocation for sensing scheduling.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"124 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122038912","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: 12

Analysis of capnography for asthmatic patient 哮喘患者血管造影分析

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478699

Tan Teik Kean, M. Malarvili

引用次数: 18

Robust model for retrieval sea surface current from different RADARSAT-1 SAR mode data 基于RADARSAT-1不同SAR模式数据反演海面洋流的鲁棒模型

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-12-01 DOI: 10.1109/ICSIPA.2009.5478705

M. Marghany

{"title":"Robust model for retrieval sea surface current from different RADARSAT-1 SAR mode data","authors":"M. Marghany","doi":"10.1109/ICSIPA.2009.5478705","DOIUrl":"https://doi.org/10.1109/ICSIPA.2009.5478705","url":null,"abstract":"This paper presents the application of robust model to simulate sea surface current pattern. We have developed the horizontal surface velocity model which is estimated from the Doppler frequency theory to model out the sea surface current velocity. The robust model was applied to the RADARSAT-1 SAR satellite at three different modes (Wide-3, High extended-6 and Standard-2). The results of the study were validated using real time in situ current measurements that were acquired by AWAC equipment. It is found that the velocity and direction of the current changed through the period of the study according to the changing of Doppler frequency shift. Onshore sea surface current was modeled from Wide-3 mode varied between 0.22 to 0.25 m/s, while sea surface current velocities extracted from the Extended High-6 and Standard-2 modes were ranged between 0.16 to 0.53 m/s and 0.52 to 0.65 m/s, respectively. The RMS difference between the three RADARSAT-1 SAR images is 0.136, 0.364, and 0.485 in the Standard-2, Wide-3, and Extended High-6 mode, respectively. This shows that RADARSAT-1 Standard-2 mode is the best mode which can be used to simulate sea surface current patterns (velocity and direction).","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134289364","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