This paper presents a novel approach to brain tumor classification by integrating Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) features. The key contributions include the development of interaction features through the outer product of GLCM and LBP feature vectors, which enhance the discriminative capability of the extracted features. The methodology also incorporates aggregated, statistical, and non-linear features to provide a more comprehensive representation of tumor image characteristics. The effectiveness of the proposed method is demonstrated using a dataset of 3064 T1-weighted contrast-enhanced images from 233 patients, including glioma, meningioma, and pituitary tumors. The classification model, implemented using a linear Support Vector Machine (SVM), achieves an accuracy rate of 99.84%, outperforming existing models. The study highlights the potential of this approach in improving the precision of medical image processing and facilitating more accurate diagnoses and treatments for brain tumors.This paper presents a novel approach to brain tumor classification by integrating Gray-Level Co-occurrence Matrix (GLCM) and Local Binary Pattern (LBP) features. The key contributions include the development of interaction features through the outer product of GLCM and LBP feature vectors, which enhance the discriminative capability of the extracted features. The methodology also incorporates aggregated, statistical, and non-linear features to provide a more comprehensive representation of tumor image characteristics. The effectiveness of the proposed method is demonstrated using a dataset of 3064 T1-weighted contrast-enhanced images from 233 patients, including glioma, meningioma, and pituitary tumors. The classification model, implemented using a linear Support Vector Machine (SVM), achieves an accuracy rate of 99.84%, outperforming existing models. The study highlights the potential of this approach in improving the precision of medical image processing and facilitating more accurate diagnoses and treatments for brain tumors.