| import gradio as gr | |
| def render_metrics(): | |
| text = r""" | |
| We use **Equal Error Rate (EER %)** a standard method used in bimoretric and anti-spoofing systems. | |
| ### **What is EER?** | |
| Equal Error Rate (EER) is a performance metric used to evaluate biometric systems. It represents the point at which the **False Acceptance Rate (FAR)** and **False Rejection Rate (FRR)** are equal. A lower EER indicates a more accurate system. | |
| #### **False Acceptance Rate (FAR)** | |
| FAR is the proportion of **unauthorized** users incorrectly accepted by the system. | |
| $FAR = \frac{\text{False Acceptances}}{\text{Total Imposter Attempts}}$ | |
| A high FAR means the system is too lenient, allowing unauthorized access. | |
| #### **False Rejection Rate (FRR)** | |
| FRR is the proportion of **genuine** users incorrectly rejected by the system. | |
| $FRR = \frac{\text{False Rejections}}{\text{Total Genuine Attempts}}$ | |
| A high FRR means the system is too strict, denying access to legitimate users. | |
| ### EER is the point at which FAR and FRR are equal. | |
| """ | |
| return gr.Markdown(text, latex_delimiters=[ {"left": "$", "right": "$", "display": False }]) |