Editor Reviews

Preprocessing Algorithms:

Face Recognition is a fascinating tool that explores various techniques for identifying faces. To experiment with advanced approaches like Neural Networks using TensorFlow and Caffe, it's essential to preprocess your images first. This involves converting them to grayscale, cropping, eye alignment, adjusting brightness, and enhancing them with filters. Additionally, techniques like Local Binary Patterns and Histogram Equalization can further enhance image quality for effective feature extraction and classification purposes.

TensorFlow:

Absolutely, you can employ TensorFlow in conjunction with SVM or KNN for feature extraction and classification tasks. For the Inception5h model, simply retrieve it from Google Storage. If you require the VGG Face Descriptor model, download it from Dropbox. However, there's a condition: to utilize the Inception5h model, ensure you copy the "tensorflow_inception_graph.pb" file to the directory "/sdcard/Pictures/facerecognition/data/TensorFlow". For the VGG Face Descriptor model, you'll need both the "VGG_FACE_deploy.prototxt" and "VGG_FACE.caffemodel" files to be present.

Features

"Face Recognition can indeed serve as an intriguing testbed for evaluating various face recognition methods."