We state that, one of the basic projects related to machine learning is “Handwritten Digit Recognition” and this project is mostly carried out the popular dataset named MNIST. Have a look at our projects that we have worked out and contact us for more enquires. Research ideas and research topics under Handwritten Digit Recognition Project using Machine Learning are completed successfully by our professional developers. Best solution will be given for an earliest and on time delivery for paper writing.
Our step-by-step procedure will assist us to execute and interpret handwritten digit recognition model by utilizing machine learning.
Describe the major aim: To create machine learning based framework for precisely recognize the handwritten digits.
Dataset: Our approach mostly utilize MNIST dataset and it have 10,000 testing images and 60,000 training images and each has a dimension of 28×28 pixels and shows the (0-9) handwritten digits.
Flattening: We transform the dimension of 28×28 pixel images into a flat vector with 784 values.
Normalization: For efficient training process, pixel values are normalized by us from [0, 255] to [0, 1].
Conventional Machine Learning framework: Our project employs various methods like Support Vector Machine (SVM), Random Forest and K-Nearest neighbors (K-NN).
Deep Learning Models: For image data, we specifically utilize Convolutional Neural Networks (CNNs) and make use of libraries such as PyTorch and TensorFlow.
Data Splitting: We divide the MNIST dataset into training and test dataset.
Training: In our work, the model is trained on training set. Utilize GPU acceleration for rapid training if we carried out our approach with CNN method.
Validation: We validate our framework by dividing the portion of training set into validation set if it is not offered in MNIST dataset.
To examine the framework’s efficiency, we make use of test set.
Metrics: For better understanding, our project considers the confusion matrix to know where the framework making errors and also considers accuracy metrics.
We tune the framework’s hyperparameters like learning rate. For CNNs, count of layers is considered and for K-NN, count of neighbors is considered.
To avoid the overfitting issue in CNN, we employ methods such as dropout.
After we fulfilled with our framework’s efficiency, implement it in various platforms like as web service or mobile application where the users require the abilities of digit recognition.
To get an actual time forecasting, creation of easiest interface enables users to design or upload handwritten digits.
Through the use of gathered user-verified data, integrate review approach to periodically enhance our framework.
Our research carried out the documentation of final results, possible applications and limitations.
We consider the following ideas in future improvement process:
To recognize the complicated handwritten patterns or cursive formats, we enhance our framework.
We deploy the abilities for actual-time recognition.
Retrain our framework with new data for continuous learning.
Performing data augmentation process such as shifting, zooming and rotating of images assists to enhance our framework’s effectiveness.
Deep Learning methods specifically CNNs offers advanced efficiency on MNIST and other related tasks even when the conventional machine learning methods provides robust performance.
We demonstrate that, an effective handwritten digit recognition model utilized in various fields like bank check processing, postal mail sorting and other relevant fields where the handwritten digits require to be checked.
The following are the thesis topics that we have supported on Handwritten Digit Recognition using Machine Learning concept know that research paper takes a lot of time and effort. Our team offers you the desired outcomes and prepare your PhD and MS thesis as per your guidelines and we also publish the paper in the reputable journal.
CNN, MNIST dataset, Machine Learning, Handwritten Digit
Our paper displays the CNN classifier that can overcome the Neural Network with critical enhanced computational efficacy without handover execution. Using CNN from ML can recognize the handwritten digits. We utilize the dataset MNIST and compile with CNN that gives the structure of CNN to our project improvement.
Dzongkha Language; Character Recognition; Digit Recognition; Handwritten Characters
The goal of our paper is to offer handwritten character recognition of Dzongkha digits by utilizing different ML methods. The prime motive behind our work is the unavailability of Dzongkha handwritten digit dataset. To enable the recognition of Dzongkha handwritten digit, we gather the data of Dzongkha handwritten digit from indigenous and non-indigenous people of Bhutan. We utilize the ML methods like SVM, KNN and DT. SVM gives the high accuracy rate.
Our work concentrates more and more on digitization and automation of nearly everything. So now it is important to get into the methods like Machine Learning, Artificial Intelligence, Deep Learning, etc. to classify and analyse the digits. We try to implement a method that recognizes the digits and make our work easier. We used CNN method to train our model.
K Nearest Neighbour, Logistic Regression, MNIST, Decision Tree
Our work concentrates on finding handwritten digits namely numbers from 0 to 9 by utilizing the well-known MNIST dataset, that contains both test and train samples. We offer a comparative analyse of machine learning methods like CNN, DT, LR and KNN. We can preprocess the dataset and give input to the method and its metrics are determined and compare to test the efficacy of different methods.
Handwritten digit recognition, Feature extraction, Dimensionality reduction, Support vector machine
Our paper offer an efficient and robust low- dimensional representation of the digit image based on enhanced version of histogram of oriented gradient (HOG) as a feature descriptor. We also proposed PCA based dimensionality reduction to get features that optimize classification accuracy. The chosen sets of feature fed into RBF based SVM that perform classification and hyperparameters were optimized using Bayesian optimisation.
Bangla handwritten digit recognition
Our work debates about dimensionality reduction method utilized in the Bangla Handwritten digit dataset NumtaDB. We examine the feature extraction methods like PCA, NCA and LDA. We classify the input automatically by utilizing CNN a DL method. CNN become good for classifying images for computer vision and recently it can utilize in other domains too. Then we classify the numeric digits by CNN that utilizes the lower dimension vector.
NumtaDB dataset, Deep CNN, Deep learning, Bangla digit recognition
We can preprocess the image by training DL methods with high accuracy is the goal of our paper. We used unbiased dataset, NumtaDB in our paper for Bangla digit recognition. Our paper utilizes different preprocessing methods that can be established for image processing including Deep CNN as classification method. Our NumtaDB dataset gives the best accuracy.
Epochs, Hidden Layers, Stochastic Gradient Descent, Back propagation
We have to compare two major DL methods like Artificial Neural Network and Convolutional Neural Network and considering their feature extraction and classification stages of recognition. Our models were trained by utilizing categorical cross-entropy loss and ADAM optimizer on the MNIST dataset. We also used back propagation with Gradient Descent to train network with RELU activation that do automatic feature extraction.
Image Preprocessing Techniques, Handwritten Digit Dataset, MNIST Handwritten Digit Dataset, Keras, RMSprop Optimizer
Our paper focuses on handwritten digit recognition for classification of patterns. We utilized the handwritten digit dataset named as MNIST contains several images. We utilized many ML and DL methods for handwritten digit recognition like SVM, RFC, KNN, MLP, CNN etc. We also suggested CNN as DL method on keras MNIST dataset and we compare the performance of CNN with SVM and KNN. Our proposed CNN based on keras can classify the handwritten digit image with RMSprop optimizer to optimize the model.
Bangla OCR, handcrafted feature extraction, machine learning classifiers, HOG, LBP, Gabor
Our paper uses four difficult classifiers to recognize Bangla handwritten digit like KNN, SVM, RF and GBDT based on three handcrafted feature extraction techniques like Histogram of Oriented Gradients (HOG), Local Binary Pattern (LBP), and Gabor filter on four publicly available datasets. We retrieve the features from dataset image by utilizing handcrafted feature extraction that can train ML classifier to find Bangla handwritten digits. Our HOG+SVM gives the best performance.
Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.
As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.
We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other
To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)
After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.
Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.
Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)
We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.
We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.
Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.
We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.
We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.
We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.
For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.
We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.
Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.
We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources
We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on
We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.
We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).
We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.
We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.
We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.
We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.
We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.
When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.
We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.
Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link
We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.
We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.
We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.
Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.
This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.
We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.
We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.
Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.
To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.
We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.
CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.
Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.
After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.
I ordered a research proposal in the research area of Wireless Communications and it was as very good as I can catch it.
I had wishes to complete implementation using latest software/tools and I had no idea of where to order it. My friend suggested this place and it delivers what I expect.
It really good platform to get all PhD services and I have used it many times because of reasonable price, best customer services, and high quality.
My colleague recommended this service to me and I’m delighted their services. They guide me a lot and given worthy contents for my research paper.
I’m never disappointed at any kind of service. Till I’m work with professional writers and getting lot of opportunities.
Once I am entered this organization I was just felt relax because lots of my colleagues and family relations were suggested to use this service and I received best thesis writing.
I recommend phdservices.org. They have professional writers for all type of writing (proposal, paper, thesis, assignment) support at affordable price.
You guys did a great job saved more money and time. I will keep working with you and I recommend to others also.
These experts are fast, knowledgeable, and dedicated to work under a short deadline. I had get good conference paper in short span.
Guys! You are the great and real experts for paper writing since it exactly matches with my demand. I will approach again.
I am fully satisfied with thesis writing. Thank you for your faultless service and soon I come back again.
Trusted customer service that you offer for me. I don’t have any cons to say.
I was at the edge of my doctorate graduation since my thesis is totally unconnected chapters. You people did a magic and I get my complete thesis!!!
- Abdul Mohammed
Good family environment with collaboration, and lot of hardworking team who actually share their knowledge by offering PhD Services.
I enjoyed huge when working with PhD services. I was asked several questions about my system development and I had wondered of smooth, dedication and caring.
I had not provided any specific requirements for my proposal work, but you guys are very awesome because I’m received proper proposal. Thank you!
I was read my entire research proposal and I liked concept suits for my research issues. Thank you so much for your efforts.
- Ghulam Nabi
I am extremely happy with your project development support and source codes are easily understanding and executed.
Hi!!! You guys supported me a lot. Thank you and I am 100% satisfied with publication service.
I had found this as a wonderful platform for scholars so I highly recommend this service to all. I ordered thesis proposal and they covered everything. Thank you so much!!!