2017 20th International Conference of Computer and Information Technology (ICCIT)最新文献_第10页

Bangla handwritten numeral character recognition using directional pattern 使用方向模式的孟加拉手写数字字符识别

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-12-01 DOI: 10.1109/ICCITECHN.2017.8281820

T. Aziz, Al Shahriar Rubelt, Md Sirajus Salekin, Rafsanjany Kushol

{"title":"Bangla handwritten numeral character recognition using directional pattern","authors":"T. Aziz, Al Shahriar Rubelt, Md Sirajus Salekin, Rafsanjany Kushol","doi":"10.1109/ICCITECHN.2017.8281820","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2017.8281820","url":null,"abstract":"Handwritten character recognition has become a challenging and interesting field in the recent days due to its complex character shapes and huge pragmatic applications. A lot of research is already done and underway on English alphabets and numerals recognition. But in case of Bangla, even being the fifth largest spoken language in the world, has not undergone that much research. Besides, different complex shape of Bangla character makes the recognition more challenging. In this paper, we propose a directional pattern approach for feature extraction of Bangla numeric characters which attains a high accuracy of recognition. We use Local Directional Pattern (LDP) and Gradient Directional Pattern (GDP) for feature extraction and then two well-known machine learning algorithms, K-Nearest Neighbour (KNN) and Support Vector Machine (SVM), to classify the numeric character. We also ensemble the pattern oriented results to enhance the accuracy. Experimental results on the benchmark dataset CMATERdb 3.1.1 demonstrates an astounding recognition rate of accuracy 95.62% without preprocessing the data.","PeriodicalId":350374,"journal":{"name":"2017 20th International Conference of Computer and Information Technology (ICCIT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116578515","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: 15

An initial centroid selection method based on radial and angular coordinates for K-means algorithm 基于径向和角坐标的K-means算法初始质心选择方法

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-12-01 DOI: 10.1109/ICCITECHN.2017.8281801

Md Shamsur Rahim, Tanvir Ahmed

引用次数: 15

Optimization of collaborative transportation scheduling in supply chain management with TPL using chemical reaction optimization 基于化学反应优化的TPL供应链协同运输调度优化

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-12-01 DOI: 10.1109/ICCITECHN.2017.8281767

M. Mahmud, Rayhan Morshed Pritom, Md. Rafiqul Islam

引用次数: 4

Web service performance enhancement for portable devices modifying SOAP security principle 修改SOAP安全原则的便携式设备的Web服务性能增强

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-12-01 DOI: 10.1109/ICCITECHN.2017.8281799

Debasish Chakroborti, Sristy Sumana Nath

{"title":"Web service performance enhancement for portable devices modifying SOAP security principle","authors":"Debasish Chakroborti, Sristy Sumana Nath","doi":"10.1109/ICCITECHN.2017.8281799","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2017.8281799","url":null,"abstract":"Nowadays most of the wed applications are bound to Service Oriented Architecture (SOA) [1], [11], [14] such as — inter-operable web services, and their performance and security greatly depend on the backend structure of web service. Web Service has two layers of security — message level security (WS-Security) and transport level security [18]. In WS-Security, embedding of security modules within SOAP message increases the line of code which lengthens the response time and thus decreases the overall performance of web services [13], [20]. Our experiments on different web services showed that, among three security modules of WS-Security of SOAP message, authentication module requires processing time the most, in Table I. Another essential part of web service is WSDL and security for WSDL is emphasized by few researchers recently as it is open to access and vulnerable for presenting SOAP messaging information [1], [4], [13]. Restricted access of WSDL file can play a strong role to increase the authentication and overall security of web service as in [4]. In this paper, we have proposed a new model to improve web service performance modifying the security principle of SOAP message and tethering WSDL file to facilitate authentication. Experimental results on our model have shown significant improvements in the line of code and response time over the traditional approach without compromising any WS-Security module's contrivances (Authentication, Signature, and Encryption).","PeriodicalId":350374,"journal":{"name":"2017 20th International Conference of Computer and Information Technology (ICCIT)","volume":"147 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125869526","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

Bengali handwritten character recognition using deep convolutional neural network 使用深度卷积神经网络的孟加拉手写字符识别

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-12-01 DOI: 10.1109/ICCITECHN.2017.8281853

Bishwajit Purkaystha, T. Datta, Md Saiful Islam

{"title":"Bengali handwritten character recognition using deep convolutional neural network","authors":"Bishwajit Purkaystha, T. Datta, Md Saiful Islam","doi":"10.1109/ICCITECHN.2017.8281853","DOIUrl":"https://doi.org/10.1109/ICCITECHN.2017.8281853","url":null,"abstract":"Handwritten character recognition is a nontrivial task as it seeks to recognize the correct class for user independent handwritten characters. This problem becomes even more challenging for a highly stylized, morphologically complex, and potentially juxtapositional characters comprising language like Bengali. As a result, the improvements over the years in Bengali character recognition are significantly less as compared to the other languages. In this paper, we propose a convolutional deep model to recognize Bengali handwritten characters. We first learnt a useful set of features by using kernels and local receptive fields, and then we have employed densely connected layers for the discrimination task. Our system has been tested on BanglaLekha-Isolated dataset. It achieves 98.66% accuracy on numerals (10 character classes), 94.99% accuracy on vowels (11 character classes), 91.60% accuracy on compound letters (20 character classes), 91.23% accuracy on alphabets (50 character classes), and 89.93% accuracy on almost all Bengali characters (80 character classes). Most of the errors incurred by our model in recognition task are due to extreme proximity in shapes among characters. A significant number of errors was caused by the mislabeled, irrecoverably distorted, and illegal data examples.","PeriodicalId":350374,"journal":{"name":"2017 20th International Conference of Computer and Information Technology (ICCIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121682885","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: 56

Exhaustive study of essential constraint satisfaction problem techniques based on N-Queens problem 基于N-Queens问题的基本约束满足问题技术的详尽研究

2017 20th International Conference of Computer and Information Technology (ICCIT) Pub Date : 2017-10-23 DOI: 10.1109/ICCITECHN.2017.8281850

Md. Ahsan Ayub, K. Kalpoma, Humaira Tasnim Proma, Syed Mehrab Kabir, Rakib Ibna Hamid Chowdhury

引用次数: 2