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Recognition of Automated Hand-written Digits on Document Images Making Use of Machine Learning Techniques

Hiral Raja, Aarti Gupta, Rohit Miri
2021 European Journal of Engineering and Technology Research  
The purpose of this study is to enhance the precision of handwritten digit recognition significantly.  ...  These approaches use SVM, ANN, and CNN models of HOG feature vectors to train images of digit strings.  ...  This module processes input images using pre-processing algorithms used in the module's primary segmentation and recognition algorithms.  ... 
doi:10.24018/ejers.2021.6.4.2460 fatcat:z3bn5sxpcjgnhgj2qdu7xdgcpm

Design of FPGA-based Handwriting Image Recognition System

Lei Wang, Ziheng Yang, Guangqiang Xu, Meili Fu, Yu Wang
2017 Advances in Modelling and Analysis B  
This paper designs a program to realize the handwriting image recognition algorithm using FPGA.  ...  The digital character recognition system designed in this paper is composed of software design and hardware design.  ...  In recent years, a large number of digital identification theories and systems have been seen in the world: Wang Yongqian, Lv Rong et al. mainly studied a kind of digit recognition method based on BP neural  ... 
doi:10.18280/ama_b.600212 fatcat:co7d6w5xmbf3ppb7s754phbrq4

Kitchengam' Criteria on the Use of Algorithms in a Person's Pattern Detection, which Contribute to Safety, Surveillance and Energy Efficiency: Study of Art

Washington Garcia-Quilachamin, Julieta Evangelina Sánchez - Cano, Luzmila Pro Concepción
2020 International Journal of Online and Biomedical Engineering (iJOE)  
The search process was carried out in the digital libraries IEEE Xplore, ACM Digital Library, Springer Link and Science Direct (Elsevier).  ...  Obtained 1402 potentially eligible studies and obtained a final sample of 28 papers considered as main research studies.  ...  Recognition of a person's image patterns AND Algorithms of recognition of a person's image patterns y Algorithms of recognition of a person's image patterns AND Recognition of a person's image patterns  ... 
doi:10.3991/ijoe.v16i07.14291 fatcat:owhnkfs7hzbwvpkunyejxf25ie

The Role of Pattern Recognition in Computer-Aided Diagnosis and Computer-Aided Detection in Medical Imaging: A Clinical Validation

Srinivasan Nagaraj, G Narasinga rao, K Koteswararao
2010 International Journal of Computer Applications  
With image texture analysis in the role of the visual perceptional function, the process of feature extraction and image coding is achieved.  ...  On Difficulties Caused by Missing Reference Image Datasets One of the main problems in the development of systems for the analysis of medical images or segmentation algorithms is the set of images that  ...  CAD Implementation background evaluation The CAD algorithms require a digital data set of the image for analysis.  ... 
doi:10.5120/1207-1729 fatcat:fd2rh3z7crcvzasoylogw6jyii

Automated detection of diabetic retinopathy on digital fundus images

C. Sinthanayothin, J. F. Boyce, T. H. Williamson, H. L. Cook, E. Mensah, S. Lal, D. Usher
2002 Diabetic Medicine  
Results The algorithm for exudate recognition was applied to 30 retinal images of which 21 contained exudates and nine were without pathology.  ...  Methods High performance pre-processing of the colour images was performed.  ...  Acknowledgements We acknowledge the help of Professor Sonksen and Shirley Smith of the Department of Medicine, St Thomas' Hospital, London, for the use of their images.  ... 
doi:10.1046/j.1464-5491.2002.00613.x pmid:11874425 fatcat:hihwg2dbordtjczn63p4p4wwmu

The Study of Handwriting Recognition Algorithms Based on Neural Networks

Barak Finkelstein, Athabasca University , Canada, Kaplan Kuncan, Athabasca University , Canada
2021 International Journal of Hybrid Information Technology  
To extract the image feature information more fully, this paper proposes a handwriting recognition algorithm based on feature fusion and SVM.  ...  Therefore, summarizing and analyzing the existing handwritten digit recognition algorithms, two handwritten digit recognition algorithms based on Convolutional Neural Network (CNN) are proposed.  ...  Individual digital images are integrated into the same size and size. And then the recognition algorithm is used for unified processing.  ... 
doi:10.21742/ijhit.2021.14.1.05 fatcat:cdsakc65bngsxazidbbwkjqyai


2021 International journal of engineering and innovative research  
In this study, different product images will be browsed through the Matlab environment with a camera and this image will see colors (Red, Green, Blue) in Matlab environmental visual planning techniques  ...  and its separation is the main purpose of the study.  ...  It is a method of obtaining a new image by changing the features and appearance by processing images that have been transformed into a digital image in different ways due to various needs [12] .  ... 
doi:10.47933/ijeir.945265 fatcat:za6nn7iganc7tnyra37s7r7noq

An Advanced ICTVSS Model for Real-Time Vehicle Traffic Applications

You-Shyang Chen, Chien-Ku Lin, Yao-Wen Kan
2019 Sensors  
This existing identification algorithm was studied and developed from a combination of improved differential algorithm and improved active contour algorithm.  ...  , and processing constant-inconstant light source from complex environment cases, and guaranteed effective license plate identification from the benefit of high resolutions of digital cameras.  ...  Acknowledgments: The authors wish to sincerely thank anonymous referees for their abundant background knowledge and assistance to provide valuable suggestions for improving quality of this study.  ... 
doi:10.3390/s19194134 fatcat:yhct4sqn7jc5zlx2pgkobqvab4

Memetically Optimized MCWLD for Matching Sketches With Digital Face Images

H. S. Bhatt, S. Bharadwaj, R. Singh, M. Vatsa
2012 IEEE Transactions on Information Forensics and Security  
Since, forensic sketches or digital face images can be of poor quality, a pre-processing technique is used to enhance the quality of images and improve the identification performance.  ...  This paper presents an automated algorithm that extracts discriminating information from local regions of both sketches and digital face images.  ...  ACKNOWLEDGEMENT The authors are thankful to Lois Gibson and Karen Taylor for providing the forensic sketch-digital image pairs. Special acknowledgement to Dr. A.  ... 
doi:10.1109/tifs.2012.2204252 fatcat:u33eilqs3vh4fbznrcrkofn6ui

Recognition of handwritten Arabic (Indian) numerals using skeleton matching

Bassam Alqaralleh, Malek Zakarya Alksasbeh, Tamer Abukhalil, Harbi Almahafzah, Tawfiq Al Rawashdeh
2020 Indonesian Journal of Electrical Engineering and Computer Science  
When a digital image is presented in this application, optical character recognition (OCR) can be exploited to comprehend numerical data.  ...  The experimental results indicate the effectiveness of the proposed optical character recognition system even for numbers written in worst case. The right system achieves a recognition rate of 99.3 %.  ...  OCR is the process of autonomous recognition and identification of characters extracted from digital images.  ... 
doi:10.11591/ijeecs.v19.i3.pp1461-1468 fatcat:gfwc27cslrawxa7vj3cjjmrzdm

Front Matter: Volume 9811

2015 MIPPR 2015: Multispectral Image Acquisition, Processing, and Analysis  
using a Base 36 numbering system employing both numerals and letters.  ...  Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication.  ...  , algorithms, and applications in multispectral image processing and pattern recognition.  ... 
doi:10.1117/12.2230199 fatcat:og3cd7pcdrenvifiefkwfg3u24

Design and Implementation of Perceptron Neuron in Machine Learning for Handwritten Character Recognition

From Standard database handwritten digit images of normalized 40×40 pixel the features are extracted by the proposed method.  ...  These algorithms need a great deal of resources to compute all their operations, and because of that, they have been traditionally implemented in application specific integrated circuits.  ...  A new digit recognition method is presented by FU Yuqing, Wang Maoxiang and Huang Xinye. Depending on structural features analysis, algorithm achieved higher rate of recognition.  ... 
doi:10.35940/ijitee.h6680.0891020 fatcat:3abxelnjzrbyjghpwgpawgfa3e

Bridging Communication Gap Among People with Hearing Impairment: An Application of Image Processing and Artificial Neural Network

Ogunsanwo Gbenga Oyewole
2018 International Journal of Information and Communication Sciences  
As a result, this research endeavors at introducing a Yoruba Sign Language recognition system using image processing and Artificial Neural Network (ANN).The proposed system (YSLRS) was implemented and  ...  and the images were stored in a folder.  ...  Segmentation and Feature Extraction The de-noised image is subjected to segmentation process. The K-means clustering algorithm was adopted in this study.  ... 
doi:10.11648/j.ijics.20180301.12 fatcat:g4p54opbgbgwjczw4iumbikf4u

A Review on Various Techniques for Face Recognition in Digital Images

Mandeep Kaur, Dinesh Kumar
2016 International Journal of Current Research and Academic Review  
Fernandez (2014) , The study presented aims to design and develop a face recognition system. The system utilized Viola Jones Algorithm in detecting faces from a given image.  ...  Chowdhury and Arnav (2014) , Human skin detection and face recognition is a very active area for research in the field of image processing.  ... 
doi:10.20546/ijcrar.2016.410.003 fatcat:qkb7z4tcrzcu7ba2opgeqweu4y

Capital Letter Pattern Recognition in Text to Speech by Way of Perceptron Algorithm

Novan Wijaya
2017 Knowledge Engineering and Data Science  
One of the supporting techniques in implementing computer vision on a system is digital image processing as the objective of digital image processing is to transform digital-formatted picture so that it  ...  Computer vision and digital image processing can be implemented in a system of capital letter introduction and real-time handwriting reading on a whiteboard supported by artificial neural network mode  ...  Sample data of this study is a collection of caputured capital letter image by webcam which then be processed using PC and programs as well as image segmentation techniques.  ... 
doi:10.17977/um018v1i12018p26-32 fatcat:ynpffpeleneepepinb7yygufze
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