Abstract
Objective: The blended fusion of Support Vector Machine (SVM) and Principal Component Analysis (PCA) have been widely used in recognizing handwritten digit characters of Devanagari script. The feature information from the character is extracted using its skeleton structure which optimally reduce data dimensionality using PCA. There is ample information available on handwritten charac-ter recognition on Indian and Non-Indian scripts but very few article emphasized on recognition of Devanagari scripts. Therefore, this paper presents an efficient handwritten Devanagari character recognition system based on block based feature extraction and PCA-SVM classifier.
Methods: We have collected samples of handwritten Devanagari characters from different handwritten experts for classification.
Results: For experimental work, total of 100 images having Devanagari digit characters been used for the purpose of training and testing. The proposed system achieves a maximum recognition accuracy of 96.6 % and 96.5% for 5 & 10 fold validations with 70% training and 30% testing data using block based feature and SVM classifier having different kernels.
Conclusion: The obtained results achieve maximum accuracy using SVM classifier for digit character recognition. In future deep learning networks will be considered for accuracy enhancement and precision.
Keywords: Support vector machine, principal component analysis, devanagari script, handwritten character recognition, block based feature, classifiers, accuracy, confusion, prediction, normalization.
Recent Advances in Computer Science and Communications
Title:SVM-PCA Based Handwritten Devanagari Digit Character Recognition
Volume: 14 Issue: 1
Author(s): Aditya Khamparia*, Sanjay K. Singh and Ashish K. Luhach
Affiliation:
- Department of Computer Science and Engineering, Faculty of Technology and Sciences, Lovely Professional University, Phagwara, Punjab,India
Keywords: Support vector machine, principal component analysis, devanagari script, handwritten character recognition, block based feature, classifiers, accuracy, confusion, prediction, normalization.
Abstract:
Objective: The blended fusion of Support Vector Machine (SVM) and Principal Component Analysis (PCA) have been widely used in recognizing handwritten digit characters of Devanagari script. The feature information from the character is extracted using its skeleton structure which optimally reduce data dimensionality using PCA. There is ample information available on handwritten charac-ter recognition on Indian and Non-Indian scripts but very few article emphasized on recognition of Devanagari scripts. Therefore, this paper presents an efficient handwritten Devanagari character recognition system based on block based feature extraction and PCA-SVM classifier.
Methods: We have collected samples of handwritten Devanagari characters from different handwritten experts for classification.
Results: For experimental work, total of 100 images having Devanagari digit characters been used for the purpose of training and testing. The proposed system achieves a maximum recognition accuracy of 96.6 % and 96.5% for 5 & 10 fold validations with 70% training and 30% testing data using block based feature and SVM classifier having different kernels.
Conclusion: The obtained results achieve maximum accuracy using SVM classifier for digit character recognition. In future deep learning networks will be considered for accuracy enhancement and precision.
Export Options
About this article
Cite this article as:
Khamparia Aditya *, Singh K. Sanjay and Luhach K. Ashish , SVM-PCA Based Handwritten Devanagari Digit Character Recognition, Recent Advances in Computer Science and Communications 2021; 14 (1) . https://dx.doi.org/10.2174/2213275912666181219092905
DOI https://dx.doi.org/10.2174/2213275912666181219092905 |
Print ISSN 2666-2558 |
Publisher Name Bentham Science Publisher |
Online ISSN 2666-2566 |
Call for Papers in Thematic Issues
?The New Era of Computational Intelligence: Big Data Applications in Health Care?
Analyzing healthcare data has remained a tedious task for data analysts in the current age of research due the nonlinear nature of data. With data sources multiplying and their complexity rising, the most common challenge for medical analysts today is obtaining relevant data for those that need it. The challenge ...read more
Advanced Applications of Artificial Intelligence in Manufacturing Technologies
As one of the most advanced fields of study and technology in existence today, artificial intelligence (AI) is finding more and more applications in production and daily life, especially in the industrial sector. This showcases the many applications of AI in mechanical production, including but not limited to: improving worker ...read more
Advancements in AI and Machine Learning for Enhanced Computer Vision Applications
This special thematic issue is meticulously crafted to provide an extensive exploration of the intricate interplay between Artificial Intelligence (AI) and Machine Learning (ML) within the expansive domain of Computer Vision. The scope of this issue is ambitiously designed to cover a diverse range of topics, incorporating cutting-edge research, advanced ...read more
Advancing Computer Vision and Multimedia Communication for Seamless Human-Machine Interaction
The rapid advancements in computer vision and multimedia communication technologies are revolutionizing the way humans interact with machines. These technologies have the potential to enable seamless and natural human-machine interaction, creating new possibilities for communication, collaboration, and entertainment. The findings will have a significant impact on the development of new ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
Related Articles
-
Inflammation as a Therapeutic Target for Various Deadly Disorders: A Review
Current Drug Targets Mineralocorticoid Receptor Antagonism and Cardiac Remodeling in Ischemic Heart Failure
Current Medicinal Chemistry - Cardiovascular & Hematological Agents Matrix Metalloproteinases in Coronary Artery Disease:Clinical and Therapeutic Implications and Pathological Significance
Current Medicinal Chemistry Transdermal Delivery: Product and Patent Update
Recent Patents on Drug Delivery & Formulation Low Molecular Weight Compounds with Transition Metals as Free Radical Scavengers and Novel Therapeutic Agents
Cardiovascular & Hematological Agents in Medicinal Chemistry Societal and Cultural Attitudes to Gout: An Important Consideration in the Successful Management of Gout among Maori in Aotearoa New Zealand
Current Rheumatology Reviews Alzheimers Disease Burdens African-Americans: A Review of Epidemiological Risk Factors and Implications for Prevention and Treatment
Current Psychiatry Reviews Possibility of Non-Immunosuppressive Immunophilin Ligands as Potential Therapeutic Agents for Parkinsons Disease
Current Pharmaceutical Design Lipid Management and Peripheral Arterial Disease
Current Drug Targets Renal Nerve Ablation for Hypertensive Patients with Chronic Kidney Disease
Current Vascular Pharmacology Liposomes and Micro/Nanoparticles as Colloidal Carriers for Nasal Drug Delivery
Current Drug Delivery Confectionery-based Dose Forms
Current Drug Delivery A Case-Control Study Investigating the Effect of MTHFR C677T Variant on Performance of Elite Athletes
Endocrine, Metabolic & Immune Disorders - Drug Targets First Autochthonous case of Emerged Zoonotic Cutaneous Leishmaniasis in Mazandaran Province, Northern Iran: kDNA-PCR Evidence Base
Infectious Disorders - Drug Targets Effects of Intravenous Apo A-I, HDLs and Apo A-I/Phospholipid Discs on Vascular Metabolism and Atherosclerosis in Animals and Humans
Current Medicinal Chemistry - Immunology, Endocrine & Metabolic Agents Erratum
Current Cardiology Reviews Experimental Animal Models: Tools to Investigate Antidiabetic Activity
Current Pharmaceutical Design GABAergic Agonists Modulate the Glutamate Release from Frontal Cortex Synaptosomes of Rats with Experimental Autoimmune Encephalomyelitis
Inflammation & Allergy - Drug Targets (Discontinued) Nutrition in Allogeneic Stem Cell Transplantion - Clinical Guidelines and Immunobiological Aspects
Current Pharmaceutical Biotechnology Hypertension in Metabolic Syndrome: Novel Insights
Current Hypertension Reviews