IEEE Machine Learning Projects 2025 2026 - Palm Vein Recognition using Image Processing - Machine Learning Projects for Final Year

Palm Vein Recognition using Image Processing - Machine Learning Projects for Final Year To get this project Visit Website: http://www.ieeexpert.com/ Email: xpertieee@gmail.com Abstract: Image classification is the process of identifying and deciding what the image is by analysing the numerical properties of the different features of image and then organizing these data into categories. Image classification consists of training and testing. This is implemented using Raspberry Pi and an IR Camera module. And the classification is done using artificial intelligence. The various steps related to this are pre-processing of image, detecting ROI, extraction of features, neural network etc. Image classification is core for computer vision and has numerous practical applications. Two of these are baggage scanning and palm vein recognition. The technique of image processing and artificial intelligence can be used to scan the objects in a baggage and to indicate whether the object is dangerous or not. Palm vein recognition is a very useful and reliable tool for biometrics. Its advantage is that it can detect whether a person is dead or alive and since it is hidden inside the skin it is almost impossible to be imitated and won’t be affected by various skin problems as in the case of fingerprint recognition technique. Thus the results from our experiment can be used for wide variety of applications. METHODOLOGY In this paper we would be demonstrating the design and implementation of image classification with the help of raspberry pi. The database for the recognition of Palm Vein recognition is created using an IR camera. First image is captured using the IR camera and converted to pixel form. Pre-processing is employed to enhance the feature of image. During pre-processing the image is converted to grayscale and various filters are used for noise reduction and the histogram of the image is obtained. Then the ROI is detected to extract the features. The background subtraction is performed and the extracted features are applied to the neural network for classification. Respective dataset is also provided to perform training and testing for recognition. The script given by us is learned by the neural network and when the image is obtained by it, it compares the obtained image with the data learned by the network and recognises the object. More Projects - https://bit.ly/495LVbb Contact us on - +91 9363932473 Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support Palm Vein Recognition using Image Processing, Plam Vein Authentication using Machine Learning, Plam Vein feature extraction, Palm Vein Recognition using machine learning Python Code, ieee machine learning projects for the final year 2021 #PalmVeinRecognitionusingImage Processing