facezkp
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Face analysis library with liveness detection, biometric template extraction, and fuzzy hashing for privacy-preserving identity verification.
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# Changelog
All notable changes to FaceZK will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [1.0.0] - 2024-01-XX
### Added
- 🎉 **Initial Production Release**
- **Core Face Detection & Analysis**
- Real-time face detection using MediaPipe
- Face mesh extraction (468 points)
- Face descriptor generation (128-dimensional)
- Age and gender prediction
- Emotion recognition (7 emotions)
- Iris tracking and analysis
- Head pose estimation (yaw, pitch, roll)
- Anti-spoofing detection
- **Biometric Template System**
- Structured biometric template extraction
- Template serialization and validation
- Confidence scoring for all features
- Timestamp and metadata tracking
- **Fuzzy Biometric Hashing**
- Locality-sensitive hashing (LSH) implementation
- Configurable similarity thresholds
- Multiple normalization methods (L2, minmax, zscore)
- Stable feature extraction for lighting/angle tolerance
- Hamming distance-based similarity calculation
- **Liveness Detection**
- Multi-frame analysis for liveness verification
- Blink detection and eye movement tracking
- Head movement analysis
- Anti-spoofing integration
- Configurable liveness thresholds
- **Production Features**
- TypeScript support with full type definitions
- Browser and Node.js compatibility
- WebGL and WASM backend support
- Memory management and cleanup
- Error handling and recovery
- Event-driven architecture
- Session management
- **Demo Application**
- Interactive web demo with real-time analysis
- Performance monitoring and debugging
- Fuzzy hash comparison testing
- Responsive UI with status indicators
- Camera integration and video processing
### Security
- ✅ No server-side biometric storage
- ✅ Local-only fuzzy hash generation
- ✅ Deterministic hash functions
- ✅ Configurable security thresholds
- ✅ Privacy-preserving design
### Performance
- ⚡ Real-time processing (30+ FPS)
- ⚡ Optimized memory usage
- ⚡ Efficient tensor operations
- ⚡ Background processing support
### Browser Support
- 🌐 Chrome 88+
- 🌐 Firefox 85+
- 🌐 Safari 14+
- 🌐 Edge 88+
## [0.9.0] - 2024-01-XX
### Added
- Initial beta release
- Basic face detection integration
- Template extraction framework
- Fuzzy hashing prototype
### Changed
- Improved accuracy and performance
- Enhanced error handling
- Better documentation
## [0.8.0] - 2024-01-XX
### Added
- Alpha release
- Core architecture
- Human library integration
- Basic demo implementation
---
## Versioning
- **Major** (X.0.0): Breaking changes, major new features
- **Minor** (0.X.0): New features, backward compatible
- **Patch** (0.0.X): Bug fixes, performance improvements
## Migration Guide
### From 0.9.0 to 1.0.0
- Update import paths to use new package name `facezk-core`
- Replace `generateBiometricId` with `generateFuzzyHash`
- Update configuration object structure
- Review liveness detection thresholds
### From 0.8.0 to 0.9.0
- Update Human library integration
- Review template structure changes
- Update demo application
---
For detailed migration instructions, see the [Migration Guide](MIGRATION.md).