Quantum computing has been a potential field of research in computer science for quite some time. The concept of quantum computing is based on the connection between weights and the threshold of neurons. The neural networks based on this technology are challenging the traditional world of cybersecurity. In this work, we leveraged this concept to validate a biometric detection system using a non-vision-based recognition technique. Researchers have been using non-vision (signature verification and voice recognition) and vision-based (fingerprint recognition, face recognition, iris scanning, and retina scanning) biometric technologies for image recognition for a long time. Among these methodologies, signature verifications are the most widely known non-vision-based technique. In this work, we apply Convolutional Neural Network (CNN) and Quantum Neural Network (QNN) after performing image pre-processing using signature verification techniques. This work reflects that the QNN has shown comparable results to other classical methods with less computational resource utilization.