Document Signature Recognition and Verification Using Neural Network

For decades, a person’s signature has served as a distinguishing element in identifying them. Manually verifying members signature is sometimes impractical when a significant number of documents, such as bank checks, must be certified in a short amount of time Signatures are a safe and secure way to authenticate and authorise people. As a result, technologies for automated conformation is required. The current thesis work is in the topic of signature authentication systems and it involves extracting some unique characteristics that build a signature hard to forge. It analyzes a specific individual based on the features of signature. Many people nowadays falsify, or utilise someone’s identity documents and photographs in illicit ways. As a result, in order to prevent such illicit use, the system assists in detecting modified photos and documents.