Скачать с ютуб Print Data Matrix Barcode using Python в хорошем качестве

Print Data Matrix Barcode using Python

Title: - A Watermarking Technique to Secure Printed Matrix Barcode—Application for Anti-Counterfeit Packaging ------------------------------------------------------------------------------------------------------------------------------------------------------ Implementation Plan: ----------------------------------   Step 1: Initially, we load the original digital images and select the input image.   Step 2: Next we perform the CLIPPING GAUSSIAN NOISE TEXTURE process, In this process the CGN texture is created from an input image of a 2D random Gaussian signal by replacing all values. Step 3: Next MAGE TEXTURE IDENTIFICATION SOLUTION, In this step we add some white noise using a dithering algorithm. After adding some white noise, the image passes through a Gaussian filter to be blurred. Step 4: Next we perform the image noise and it is extracted and embedded into the image after that. Finally, the image is scaled down by 1/2 to obtain the final simulated printed image. Step 5: Next, we perform CLASSIFICATION OF SIMULATED IMAGES, In this process based on the extracted features we classified the image as Numerical, Genuine and Falsified. Step 6: Finally, we validate the performance of these work, • Number of images vs. Accuracy • Number of images vs. Recall • Number of images vs. Precision • Number of images vs. F-Score • ROC Curve =======================================================================================================================================================================================   Software Requirement: ----------------------------------- Language : Python IDE : Python-3.10.4 Operating System : Windows-10 (64-bit) ========================================================================================================================================================================================= We are pleased to offer our support to Research Scholars in selection from a wide range of topics and ideas for their Research Venture. In the above mentioned video, we have provided TOP MOST guidance for the selected PhD Topic. mail us at : [email protected] visit us at : https://phdtopic.com call us at : +91 900 344 6899