11 lines
874 B
Markdown
11 lines
874 B
Markdown
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Creating a selfie verification program in JavaScript involves a combination of image processing, machine learning, and user interface design. Here's a step-by-step guide to building a robust selfie verification program:
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### 1. **Core Requirements:**
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- **Webcam Integration**: To capture selfies from the user's camera.
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- **Facial Recognition**: To compare the captured selfie with a pre-existing reference image (e.g., a user profile picture).
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- **Machine Learning Model**: For facial recognition and comparison (often using pre-trained models like OpenCV, face-api.js, or external services like AWS Rekognition or Microsoft Azure Face API).
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- **Backend Verification**: To handle the logic, store data securely, and interact with a database.
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- **User Interface**: To allow the user to take a selfie, view results, and handle errors (e.g., no face detected, low quality).
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