2016 International Conference on Inventive Computation Technologies (ICICT)最新文献

DFT based feature extraction technique for recognition of online handwritten Gurmukhi strokes 基于DFT的在线手写体古穆克笔画特征提取技术

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-09-01 DOI: 10.1109/INVENTIVE.2016.7830091

Keerti Aggarwal, R.K. Sharma

引用次数: 0

Optical character recognition using template matching and back propagation algorithm 基于模板匹配和反向传播算法的光学字符识别

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-27 DOI: 10.1109/INVENTIVE.2016.7830161

Ashima Singh, Swapnil R. Desai

{"title":"Optical character recognition using template matching and back propagation algorithm","authors":"Ashima Singh, Swapnil R. Desai","doi":"10.1109/INVENTIVE.2016.7830161","DOIUrl":"https://doi.org/10.1109/INVENTIVE.2016.7830161","url":null,"abstract":"Building an effective methodology to detect characters from images with less error rate is the great task. Our aim is to furnish such an algorithm that will be able to generate error free recognition of text from the given input image which will help in document digitizing and prevention to the hand written text recognition. OCR has been in the intensive research topic for more than 4 decades, it is probably the most time consuming and labor intensive work of inputting the data through keyboard. This paper discuss about mechanical or electronic conversion of scanned images, text which contain graphics, image captured by camera, scanned images and the recognition of images where characters may be broken or smeared. The optical character recognition is the desktop based application developed using Java IDE and mysql as a database. We have gain 91.82% accuracy when applied on different data sets, in pre-processing we used different techniques to remove noise from the image in post processing we used dictionary for the characters which are not recognized during classification, in classification we have used the back propagation algorithm for the training of neural network, feature extraction has been performed by template matching and hamming distance. All the algorithms have been developed in java technology.","PeriodicalId":252950,"journal":{"name":"2016 International Conference on Inventive Computation Technologies (ICICT)","volume":"385 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121705288","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: 16

Design and develop a framework for social networking analysis 设计和开发一个社会网络分析框架

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-05 DOI: 10.1109/INVENTIVE.2016.7830086

Navpreet Kaur, M. Singh, V. P. Singh

引用次数: 2

An efficient itinerary management scheme for electric vehicles using ACO 基于蚁群算法的高效电动汽车行程管理方案

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-04 DOI: 10.1109/INVENTIVE.2016.7824832

Deepika Hooda, Neeraj Kumar

引用次数: 2

Efficient routing in Vehicular Ad-hoc Networks using firefly optimization 基于萤火虫优化的车载Ad-hoc网络高效路由

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-04 DOI: 10.1109/INVENTIVE.2016.7830212

Rajesh Kumar, Sahil Chhabra

引用次数: 13

Energy efficient radio communication in a heterogeneous wireless network 异构无线网络中的高能效无线电通信

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-01 DOI: 10.1109/INVENTIVE.2016.7830239

N. Al Ameen, T. Sudha

引用次数: 1

A universal video enhancement technique based on least path intensity detector and adaptive filtering algorithm 基于最小路径强度检测器和自适应滤波算法的通用视频增强技术

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-01 DOI: 10.1109/INVENTIVE.2016.7823288

S. Madhura, K. Suresh

引用次数: 0

Two-fold feature extraction technique for biomedical signals classification 生物医学信号分类的双重特征提取技术

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-01 DOI: 10.1109/INVENTIVE.2016.7824884

A. Hazarika, L. Dutta, M. Barthakur, M. Bhuyan

{"title":"Two-fold feature extraction technique for biomedical signals classification","authors":"A. Hazarika, L. Dutta, M. Barthakur, M. Bhuyan","doi":"10.1109/INVENTIVE.2016.7824884","DOIUrl":"https://doi.org/10.1109/INVENTIVE.2016.7824884","url":null,"abstract":"This presents a two-fold feature extraction technique for biomedical signals classification. In this work, signals are uniformly decomposed to form a set of uniform matrices. Then using Canonical Correlation Analysis (CCA) each pair matrices are mapped to orthogonal space. Next, Wavelet transformation is performed on original feature matrices and then mapped to orthogonal space. Both domains are statistically independent. From each domain, same dimensional feature vectors are extracted and concatenated them to form single embedding vectors. The embedding vectors are fed to classifier to recognize the healthy control and pathological signal patterns. For demonstration, we consider three groups of EMG signal vis Amyotrophic lateral sclerosis (ALS), Myopathy (Myo) and healthy control (Nor). Results indicate that adopted feature extraction technique and synchronization of features strongly enhances the quality of feature pattern. The optimum recognition rate under adopted feature technique are obtained 95.91%±3.6% and 95.58%±1.5 % in Myo-Nor and ALS-Nor respectively. The proposed feature extraction scheme is consistent not only in accuracies but also other quality assessment parameters. Hence it promises to provide a better strategic tool for signal classification.","PeriodicalId":252950,"journal":{"name":"2016 International Conference on Inventive Computation Technologies (ICICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124283395","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

An overview of learning in data streams with label scarcity 在标签稀缺的数据流中学习的概述

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-01 DOI: 10.1109/INVENTIVE.2016.7824874

Radhika Kulkarni, S. Patil, R. Subhashini

引用次数: 6

Priority based Modified Throttled Algorithm in Cloud Computing 云计算中基于优先级的改进节流算法

2016 International Conference on Inventive Computation Technologies (ICICT) Pub Date : 2016-08-01 DOI: 10.1109/INVENTIVE.2016.7830175

Soumi Ghosh, Chandan Banerjee

引用次数: 21