2014 Fifth International Conference on Signal and Image Processing最新文献

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Discriminative DCT: An Efficient and Accurate Approach for Off-Line Signature Verification 判别式DCT:一种高效、准确的离线签名验证方法
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.34
R. Bharathi, B. H. Shekar
{"title":"Discriminative DCT: An Efficient and Accurate Approach for Off-Line Signature Verification","authors":"R. Bharathi, B. H. Shekar","doi":"10.1109/ICSIP.2014.34","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.34","url":null,"abstract":"In this paper, we proposed to combine the transform based approach with dimensionality reduction technique for off-line signature verification. The proposed approach has four major phases: Preprocessing, Feature extraction, Feature reduction and Classification. In the feature extraction phase, Discrete Cosine Transform (DCT) is employed on the signature image to obtain the upper-left corner block of size mX n as a representative feature vector. These features are subjected to Linear Discriminant Analysis (LDA) for further reduction and representing the signature with optimal set of features. Thus obtained features from all the samples in the dataset form the knowledge base. The Support Vector Machine (SVM), a bilinear classifier is used for classification and the performance is measured through FAR/FRR metric. Experiments have been conducted on standard signature datasets namely CEDAR and GPDS-160, and MUKOS, a regional language (Kannada) dataset. The comparative study is also provided with the well known approaches to exhibit the performance of the proposed approach.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128163556","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
Patch Based Image Completion for Compression Application 基于补丁的图像补全压缩应用
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.20
V. Yatnalli, K. Sudha
{"title":"Patch Based Image Completion for Compression Application","authors":"V. Yatnalli, K. Sudha","doi":"10.1109/ICSIP.2014.20","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.20","url":null,"abstract":"A new technique for the filling-in of missing blocks in wireless transmission of block based compressed images is proposed. By intentionally (and automatically) dropping image blocks and using filling-in approach, the performance of the compression ratio can be improved. The approach removes only partial regions in the image and generates a smaller image of same size as the original. This provides the condensed description of an image. Intuitively, the approach at decoder side restores large dropped regions utilizing the correlations between image patches. Thus, patch manipulation technique enhances the compression ratio of still images by recovering the damaged portions of an image.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129593828","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
Automatic Detection and Elimination of an Optic Disc for Improving Drusen Detection Accuracy 视盘的自动检测与消除,提高Drusen检测精度
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.23
A. Prasath, M. Ramya
{"title":"Automatic Detection and Elimination of an Optic Disc for Improving Drusen Detection Accuracy","authors":"A. Prasath, M. Ramya","doi":"10.1109/ICSIP.2014.23","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.23","url":null,"abstract":"Precise localization of optic disc (OD) in color retinal images is an important sub-problem of automated retinal image analysis system. Drusen detection algorithms generally find lot of false positives at the OD region since the intensity of the drusen resembles with that of OD region. The exact identification an OD seems to be difficult as the disc boundaries are not clearly visible. Several parts of the disk is obscured by blood vessels. Further the size and position of the OD varies from one image to another. These factors make the OD detection a challenging task. In this paper we present a novel method to automatically detect the position of OD and eliminate it. The method starts with a color channel selection that provides a better contrast and reduces computational complexity. The contrast and the illumination of the image is normalized using adaptive histogram equalization (AHE) and homomorphic filtering respectively. The OD localization is then achieved by active contour segmentation using morphological operators. The algorithm is evaluated using 30 images. The proposed method was evaluated by comparing with conventional OD detection using a 2D circular Hough transform. The results prove an efficiency of the proposed method with an accuracy of 93%.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125602038","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
V2 Walk-Through a Stitched Image V2演练缝合图像
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.42
G. Kiran, M. S.
{"title":"V2 Walk-Through a Stitched Image","authors":"G. Kiran, M. S.","doi":"10.1109/ICSIP.2014.42","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.42","url":null,"abstract":"In imaging devices, there is a trade-off between the images (snapshots) and video because of the limitation in storage capacity. Video clips need more storage space compared to images. This motivated to generate the video from a single stitched 2D image rather than storing video clips. Humans analyze varieties of cues from a single image and act accordingly, unlike robots. Creating a vertical virtual walk-through a Single stitched large sized image is proposed in two folds: In the first phase, the input images are stitched to form a single large sized image of a scene and in the second phase the virtual walk through the stitched image is rendered. The algorithm is tested on a set of nearly 400 images obtained from both indoor and outdoor scenes. The presented approach is computationally efficient and has been verified extensively by experiments. Since the proposed algorithm is completely automated it is amenable for implementation on robotic platforms.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191971","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
Design and Analysis of High Speed Low Power Reusable on Chip Bus Based on Wishbone 基于Wishbone的高速低功耗复用芯片总线设计与分析
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.37
Prashant Bachanna, Vivek Jalad, Sharanbasappa Shetkar
{"title":"Design and Analysis of High Speed Low Power Reusable on Chip Bus Based on Wishbone","authors":"Prashant Bachanna, Vivek Jalad, Sharanbasappa Shetkar","doi":"10.1109/ICSIP.2014.37","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.37","url":null,"abstract":"FPGA and ASIC design based on SoC technology have been widely used in the embedded systems. A flexible interconnection scheme is crucial in SoC design. In this paper, we adopt the Wishbone bus to interconnect a variety of devices due to its open architecture and many a free IP core with a Wishbone interface supplied by Open Cores organization. In general SoC system, a single bus interconnects all devices that are not divided into high-performance unit such as CPU, on-chip ram and low speed devices like uart, gpio and so on. It leads to a big problem: all Wishbone bus cycles run at the speed of the slowest device. We have to add the corresponding logic to regulate the system frequency for some low-speed devices, but it causes a new problem which increases the overall system power consumption. In view of the drawback, based on Wishbone bus, the paper proposes a double bus that makes first level Wishbone bus and the second level bus to interconnect the different devices according to the speed of the devices. Finally, we set up a SoC system to verify the performance of the proposed bus and the result shows that the double bus is feasible in low-power SoC design.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134483319","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
A Survey of Resource Sharing Cloud Using Data Mining 基于数据挖掘的资源共享云研究综述
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.57
D. Pratiba, G. Shobha
{"title":"A Survey of Resource Sharing Cloud Using Data Mining","authors":"D. Pratiba, G. Shobha","doi":"10.1109/ICSIP.2014.57","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.57","url":null,"abstract":"With the development of information technologies, Data Mining and Cloud Computing have been put forward and in wide search. Data Mining is defined as the process of analyzing data from different perspectives and summarizing it into useful information. It is also used for extracting the useful and potential information from the cloud. Most institutions and organizations have their own libraries and computer Servers, retrieving the data available in the above consortia is a difficult task. To overcome this, the resources can be shared using Data Mining and Cloud computing technology. Thus the end users would have access to all information.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132170421","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
Blind Algorithm for Channel Length Estimation Using Cumulant Features 基于累积量特征的信道长度盲估计算法
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.29
K. A. Babu, B. Ramkumar
{"title":"Blind Algorithm for Channel Length Estimation Using Cumulant Features","authors":"K. A. Babu, B. Ramkumar","doi":"10.1109/ICSIP.2014.29","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.29","url":null,"abstract":"Cognitive radios employed in emergency or military applications are subjected to harsh time varying channel conditions. In emergency application, since there is no information available about the wireless medium, blind equalizers are employed. One of the challenges in designing of blind equalizer is to choose the length of the equalizer. The length of the equalizer depends on the length of the channel which is generally not known. In this paper we propose a novel method to estimate the length of the channel using cumulant features. The validity of the proposed method is verified using computer simulation.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124446700","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
Euclidean Distance Based Offline Signature Recognition System Using Global and Local Wavelet Features 基于欧氏距离的全局和局部小波特征离线签名识别系统
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.19
S. Angadi, Smita Gour
{"title":"Euclidean Distance Based Offline Signature Recognition System Using Global and Local Wavelet Features","authors":"S. Angadi, Smita Gour","doi":"10.1109/ICSIP.2014.19","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.19","url":null,"abstract":"Signature recognition is an important requirement of automatic document verification system. Many approaches for signature recognition are found in literature. A novel approach for offline signature recognition system is presented in this paper, which is based on powerful global and local wavelet features (Energy features). The proposed system functions in three stages. Pre-processing stage, which consists of four steps: gray scale conversion, binarization, thinning and fitting boundary box in order to make signatures ready for feature extraction, Feature extraction stage, where totally 59 global and local wavelet based energy features are extracted which are used to distinguish the different signatures. Finally in classification stage, a simple Euclidean distance measure is used as decision tool. The average recognition accuracy obtained using this model ranges from 90% to 100% with the training set of 10 persons to 30 persons.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121808704","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: 8
Discrete Wavelet Transform and Gradient Difference Based Approach for Text Localization in Videos 基于离散小波变换和梯度差分的视频文本定位方法
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.50
B. H. Shekar, M. L.Smitha, P. Shivakumara
{"title":"Discrete Wavelet Transform and Gradient Difference Based Approach for Text Localization in Videos","authors":"B. H. Shekar, M. L.Smitha, P. Shivakumara","doi":"10.1109/ICSIP.2014.50","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.50","url":null,"abstract":"The text detection and localization is important for video analysis and understanding. The scene text in video contains semantic information and thus can contribute significantly to video retrieval and understanding. However, most of the approaches detect scene text in still images or single video frame. Videos differ from images in temporal redundancy. This paper proposes a novel hybrid method to robustly localize the texts in natural scene images and videos based on fusion of discrete wavelet transform and gradient difference. A set of rules and geometric properties have been devised to localize the actual text regions. Then, morphological operation is performed to generate the text regions and finally the connected component analysis is employed to localize the text in a video frame. The experimental results obtained on publicly available standard ICDAR 2003 and Hua dataset illustrate that the proposed method can accurately detect and localize texts of various sizes, fonts and colors. The experimentation on huge collection of video databases reveal the suitability of the proposed method to video databases.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122111299","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
An Approach for Object Detection in Android Device 一种基于Android设备的目标检测方法
2014 Fifth International Conference on Signal and Image Processing Pub Date : 2014-01-08 DOI: 10.1109/ICSIP.2014.6
G. Savitha, P. S. Venugopal, Sarojadevi, N. Chiplunkar
{"title":"An Approach for Object Detection in Android Device","authors":"G. Savitha, P. S. Venugopal, Sarojadevi, N. Chiplunkar","doi":"10.1109/ICSIP.2014.6","DOIUrl":"https://doi.org/10.1109/ICSIP.2014.6","url":null,"abstract":"Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class in digital images and videos. An attempt is made in this study to detect and extract objects in an image implemented on android platform. Color images are converted to binary images using the thresholding technique. Morphological opening and closing filters are used in sequence for object detection. Contour based learning techniques are adopted for drawing contours of the objects detected. In the process objects are extracted and stored in an array for further analysis. OpenCV functions are used to implement these algorithms on android.","PeriodicalId":111591,"journal":{"name":"2014 Fifth International Conference on Signal and Image Processing","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123251510","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
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