Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)最新文献_第8页

A two-stage style detection approach for printed Roman script words 印刷罗马文字的两阶段风格检测方法

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060110

P. Singh, Shantanu Jana, R. Sarkar, N. Das, M. Nasipuri

{"title":"A two-stage style detection approach for printed Roman script words","authors":"P. Singh, Shantanu Jana, R. Sarkar, N. Das, M. Nasipuri","doi":"10.1109/C3IT.2015.7060110","DOIUrl":"https://doi.org/10.1109/C3IT.2015.7060110","url":null,"abstract":"Development of Optical Character Recognition (OCR) for printed Roman script is still an active area of research. Automatic Style Identification (ASI) can be used to improve the performance of OCR system and keyword spotting techniques for printed Roman script. This paper proposes a two stage font invariant technique for detection of italic, bold, underlined, normal and all capital styled words for printed Roman script. In the first stage, the technique separates the underlined words from non-underlined words. In the second stage, a 25-element feature set has been extracted from the non-underlined words to identify the other said styled words which are evaluated using multiple classifiers. The technique has been tested on 2100 words printed in five well-known fonts namely, Arial, Cambria, Calibri, Gill Sans, and Times New Roman in which each of the font contributes exactly about 420 words. Based on the identification accuracies of multiple classifiers, Multi Layer Perceptron (MLP) classifier has been chosen as the final classifier which was tested comprehensively using different folds and with different number of epochs. Overall accuracy of the system is found to be 98.25% using 3-fold cross validation scheme.","PeriodicalId":402311,"journal":{"name":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","volume":"149 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130862021","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

Architecture and secure implementation for video conferencing technique 视频会议技术的体系结构和安全实现

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060168

Manoj K. Mishra, S. Mukhopadhyay, G. P. Biswas

引用次数: 2

Fuzzy VQ based image compression by bacterial foraging optimization algorithm with varying population 基于变种群细菌觅食优化算法的模糊VQ图像压缩

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060121

Nandita Sanyal, A. Chatterjee, S. Munshi

引用次数: 3

Facial landmark detection using FAST Corner Detector of UGC-DDMC Face Database of Tripura tribes Tripura部落UGC-DDMC人脸数据库FAST角点检测器的人脸地标检测

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060195

Tumpa Dey, Tamojay Deb

{"title":"Facial landmark detection using FAST Corner Detector of UGC-DDMC Face Database of Tripura tribes","authors":"Tumpa Dey, Tamojay Deb","doi":"10.1109/C3IT.2015.7060195","DOIUrl":"https://doi.org/10.1109/C3IT.2015.7060195","url":null,"abstract":"We have performed facial landmark detection of visible face images and studied the performance of Features from Accelerated Segment Test (FAST) Corner Detector technique on IRIS Face Database and newly created UGC-DDMC Face Database to justify the design approach of the face database. This paper describes detection of the facial landmarks of UGC-DDMC face database which includes left eye corners, right eye corners, left eyebrows, right eyebrows, lip corners, nostrils. It consists of two parts: In first part, a morphological opening operation is used to estimate the background. Then create a more uniform background by subtract the background image from original image. In the second part, the facial landmarks had been detected using Fast corner detector technique. The Fast corner detector works on the corner response function (CRF), which is computed as a minimum change of intensity over all possible direction. The Fast corner detector is significantly faster to compute than other algorithms. The experiment has been done over the UGC-DDMC Face Database of Tribes of, which is being developed by IT Department of Dasaratha Deb Memorial College, Khowai, Tripura. In our Experiment initially we used 108 Facial images with different pose from the UGC-DDMC Face Database and 110 images from IRIS Database. Performance results for ntIS database is 100% and UGC-DDMC Database is 74%. It has been seen that algorithmic performance is high with low threshold value and with higher values if shows good performance. Fiducial points obtained during this process will be useful for any feature based Face recognition process. Thus, we can justify the design process of the UGC-DDMC Face Database.","PeriodicalId":402311,"journal":{"name":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114615120","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

LMMSE equalized DCSK communication system over a multipath fading channel with AWGN noise LMMSE均衡了多径衰落信道中存在AWGN噪声的DCSK通信系统

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060167

Sandip Das, Soumitra Kr Mandal, Moitrayee Chakraborty

引用次数: 1

Design of structured irregular LDPC codes from structured regular LDPC codes 由结构化规则LDPC码设计结构化不规则LDPC码

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060128

V. Kulkarni, K. J. Sankar

引用次数: 7

A new clustered load balancing approach for distributed systems 分布式系统的一种新的集群负载平衡方法

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060188

Moumita Chatterjee, S. Setua

引用次数: 8

Frequent pattern generation in association rule mining using weighted support 基于加权支持的关联规则挖掘频繁模式生成

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060207

Subrata Bose, Subrata Datta

引用次数: 12

Design of fuzzy based intelligent energy efficient routing protocol for WANET 基于模糊的WANET智能节能路由协议设计

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060201

S. Das, S. Tripathi, A. P. Burnwal

引用次数: 30

Characteristics of a planar metal antenna in vicinity of human head at 900 MHz and 1800 MHz 900兆赫和1800兆赫人类头部附近平面金属天线的特性

Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT) Pub Date : 2015-03-16 DOI: 10.1109/C3IT.2015.7060205

S. Mondal, P. Sarkar

引用次数: 1