Image Recognition and Restoration

A biometric recognition system that uses as a biometric feature a static digital image of the human face is developed. Detecting and recognizing human faces in photographs and video sequences is an increasing problem in the field of computer vision, and there are many practical applications at present, such as surveillance, videoconferencing, access control, etc. The objective is to return as a result the five people in the database which most resemble the person of the test image.

The problem of face recognition can be divided into two phases: Detection of the face within the image and recognition. The detection phase is mainly based on the detection of skin in the image. Subsequently, a selection of candidate skin regions to be expensive and validated through ""maps"" of eyes and mouth. In addition, an alternative system of face detection, if the previous method has not detected any. This method takes the largest region of skin found in the image and generates an ellipse with its characteristics to return as face the part of the image that coincides with the ellipse.

In the recognition phase the areas of the detected images are taken as persons. PCA is used to extract the characteristics that represent the images. These characteristics are then used to train and simulate neural networks. With the outputs of the neural networks, the images of the database that most closely resemble the face of the test image. The evaluation of the implemented system shows the great influence of the type of images used for recognition, with much better results when the images meet certain characteristics.

The framework of this book is the digital restoration of images, that is, the process which recovers an original image that has been degraded by imperfections of the acquisition system: blur and noise. Restoring this degradation is a problem poorly conditioned because the direct investment by least squares amplifies the noise at high frequencies. Therefore, regularization is used mathematics as a means to include a priori information of the image that it achieves to stabilize the solution. During the first part of the report a review of certain state-of-the-art algorithms, which will later be used as methods of comparison in the experiments.

To solve the problem...