Fortunately, OpenCV already has two pre-trained face detection classifiers, which can readily be used in a program. The two classifiers are: Haar Classifier and Local Binary Pattern(LBP) classifier.

Training and face recognition are done next. face_rec.py code does everything. The algorithm used here is Local Binary Patterns Histograms (LBPH). Face detection is the process of finding or locating ...

Finally, the application of the object detection method in corn seed defect detection ... These six characteristic parameters were used as feature vectors. (5) Local binary pattern (LBP) (Ojala et al.

In prior work, a brain-inspired model of visual recognition ... face V1 database and AR database. Since deep neural networks are commonly used in image recognition, we compared the accuracy of our ...

To recognize face using OpenCV libraries and python, we need to have subject ... performance compared to reference [15]. 5. Conclusions Local Binary Pattern Histogram (LBPH) architecture of face ...

The face detection part uses the Viola-Jones algorithm, and the face recognition part receives the face image from the face detection part to process it using the Local Binary Pattern Histogram (LBPH) ...