10. Introduction : Facial physiognomy. Your face is the mirror of your personality. Statistical results has shown that there is a strong connection between facial features and personality traits. Since thousands of years people have been trying to study the relationship between facial features and personality traits.
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12. Introduction : Project Life Cycle Input image Database of Features Store Statistical data Face Detection Features Extraction FFT Human Face Statistical data Features Discovering Human Characteristics
19. Planning : ● We believe that the best way to get a good working application is to give enough time for planning and designing. ● In our planning phase, we passed through the following….
44. Environment: Windows We use windows as base operating system for Our project because of using of C#.net, and most of people use windows as native Operating System
54. Has good libraries in Image Processing like(Aforg.Net – OpenCV- Luxand) that we use in Extract Face Features
55. Environment: MySQL • Relational database management system (RDBMS) • Providing multiuser access to a number of databases • Works on many different system platforms