INFace Toolbox v2.0: Illumination Normalization Techniques for Robust Face Recognition

Researchers working in the field of face recognition can utilize the INFace (Illumination Normalization techniques for robust Face recognition) toolbox v2.0, which comprises a collection of MATLAB functions and scripts. This toolbox provides implementations of various advanced techniques and algorithms for image normalization and processing, including histogram equalization, difference of Gaussian filtering, and single-scale retinex methods to enhance facial recognition accuracy and robustness. The toolbox includes detailed documentation and tutorials explaining the implementation approaches, such as parameter optimization techniques for different illumination conditions and integration methods with existing recognition pipelines. Through its modular MATLAB code structure, researchers can access various utility tools and resources to conduct high-quality face recognition studies, with functions supporting batch processing of image datasets and performance evaluation metrics.