2009HT12895
- 1. Photograph Database management using face recognition By: Amrit Ranjan
- 2. Abstract This thesis proposed the face recognition method using common and most sophisticated face recognition algorithm to maintain and manage image or photograph database. Here Photograph Image means Image with human faces. In this thesis, image’s faces are extracted and classified and indexed. Indexed values are later used for creating logical database of images. This indexed values will be used to search and display related images. This is also features about the usage of the indexed values to identify or search one face with combinations of other faces and it will help police to investigate in more details. In this thesis a feature is extracted using principal component analysis and then classification by creation neural network. Recently, the PCA (Principal Component Analysis) has been extensively employed for face recognition algorithms. It is one of the most popular representation methods for a face image. It not only reduces the dimensionality of the image, but also retains some of the variations in the image data. We run our algorithm for face recognition application using principal component analysis. The system produces promising results for face verification and face recognition. Demonstrate the recognition accuracy for given number of input pattern. Our approach treats face recognition problem as intrinsically(inherent) two-dimensional (2-D) recognition problem rather than requiring recovery of three-dimensional(3-D) geometry, taking advantage of fact that faces are normally upright and thus may be described by a small set of 2-D characteristic views. The system functions by projecting face images onto a feature space that spans the significant variations among known face images. The significant features are known as “eigenfaces”, because they are the eigenvectors (principal components) of the set of faces. Computer model of face recognition in particular, are interesting because they can contribute not only to theoretical insights but also to the practical applications. Computer that recognizes faces could be applied to a wide variety of problems like criminal identification, security system, image and film processing and human-computer interaction.
- 3. Introduction We are living in Digital world with easy accessibility of Digital camera Phone Tablet etc. On average we click minimum 10-20 photographs per week which sum-up 700-800 photographs per year. It is now very difficult to locate specific photograph (e.g. photograph with my mother). One way to handle the situation to keep photo in different directories with proper tagging. But it leads to duplicating same photographs. This thesis work is carried out to feasible study to address the issues identified (as above) and corresponding implantation using some available framework (EMGU). This solution indexes each photograph and faces. User can search on basis of Face name (with combinations like Photograph with My Face + Mother’s Face)
- 4. Problem Statement In Digital world managing bulk of photographs with proper face index. Search photographs with face names.
- 5. Objective Set proper listener to the directory where photographs will be stored. Index each photograph with face name using face detection algorithm. Indexing should happen as soon as photographs will copied to designated directory. Provide search mechanism to search photographs with combinations.
- 6. Methodology Face RecognitionDetection Face Indexing XML Based Indexing solution Face Search
- 7. System Configuration User System Setting Database Is First Time Configuration Page Yes Image Directory Settings Saved
- 11. Face RecognitionDetection User System Physical Storage Logical Storage Set Listener Copy Photo Notify Image Added Detect Faces Notify user to Name face Map faces Index Image with face name
- 14. Face Search User System Logical Storage Physical Storage Search Request Search UI Show Search Faces Image details Load Image Notify User
- 15. Face Search
- 16. Face Search
- 17. Face Search