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Face Recognition Based Attendance System

Authors :  Adwait Kotewar, Ashwin Falke, Devendra Thawari DOI : 10.46335/IJIES.2024.9.6.5 Abstract—The old, ineffective techniques of measuring atten- dance are being replaced by newer, more advanced technologies. Face recognition based attendance system have become a cutting- edge and practical resolution to this problem. In order to expedite the process of taking attendance in business settings, educational […]

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Enhancing Cybersecurity through Machine Learning: A Review of Malicious Website Detection Methods

Authors : Nityay Kherde, Anushka Kale, Govind Kurup , Asmit Meshram ,Prof Leena Mandurakar DOI : 10.46335/IJIES.2024.9.7.17 Abstract-   This paper presents a review of machine learning-based approaches for identifying and classifying malicious websites. Various studies have tackled this challenge by extracting features from URLs and website content to train machine learning models. Methods include lexical, host-based, […]

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Handwritten Marathi Compound Character Recognition using Structural and Statistical Features

Authors : Mrs.Snehal S. Golait , Dr.L.G. Malik, Prof.A.Thomas Abstract –Feature Extraction plays a vital role in any character recognition system. It involves measuring those features of the input pattern are relevant to classification. The characteristics of the feature extraction techniques have to be independent of the scalable font characteristics such as type, size, style, […]

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Implementation of NVSS Scheme In Encryption And Decryption System

Authors : Prof. Swati B.Patil, Miss .Pranali  W. Walde,Miss.Prajakta S. Khobragade Abstract – The main aim of this paper is to reduce the transmission risk problem during sharing an image in a network. In ancient time period most of the users use CVSS scheme.But thisscheme arouse suspicion and increase interception riskduring transmission of the shares. […]

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Implementation of Feature Level Fusion of Face and Ear in Multi-Modal Biometric System

Authors : Shradha D.Jamdar , Prof. Yogesh Golhar Abstract – In this paper discusses a new multimodal biometric based on face and ear. Multi modal biometric system is one of the major areas of study identified with large applications in recognition system. Single modal-biometric systems have to challenge with a variety of problems such as […]

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Phishing Website Detection Using Machine Learning

Authors :Pratiksha S. Patil , Nilesh Vani DOI : 10.46335/IJIES.2025.10.9.8 Abstract – The growing prevalence of phishing assaults, especially in online banking and e-commerce, calls for the creation of reliable detection systems. A thorough analysis of the use of machine learning methods for phishing website identification is presented in this research. By leveraging supervised classification […]

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Machine Learning-Driven Identification of Cotton Leaf Diseases for Precision Agriculture

Authors : Tushar Mohite Patil , Sanjay Pandey2, Ravindra Duche DOI :10.46335/IJIES.2025.10.7.12 Abstract – In this study, we propose a machine learning-based method for automatic detection of cotton leaf diseases based on Random Forest classifier. Other features extracted are color based (RGB) and texture based (GLCM) that helps a lot in increasing the classification accuracy. […]

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SVM-Based Facial Expression Recognition: A Focus on Emotion Analysis for Individuals with Intellectual Disabilities

Authors : Ganesh Chandra Akoliya, Sanjay Pandey, Ravindra Duche DOI : 10.46335/IJIES.2025.10.7.11 Abstract –In this study, we develop a FER system for intellectual disability people based on DWT and Gabor filter for feature extraction followed by an SVM classifier for classification of expression. Four different preprocessing techniques such as converting into grayscale, normalizing the image, and data […]

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