This project showcases a simple identity verification system based on Optical Character Recognition (OCR), aimed at extracting handwritten text—like names or signatures—from an image and comparing it with user-provided input. Built in a Google Colab environment, the system utilizes Tesseract OCR and image processing libraries such as OpenCV. Images are loaded and preprocessed through grayscale conversion and thresholding to enhance OCR accuracy. The extracted text is cleaned and normalized, then compared with the normalized user input. Access is granted only if a match is found. This project is ideal for basic applications in digital signature verification, identity checks, or secure login systems using scanned documents.