Human gender revelation based on facial features and shape and structure of finger nails

The research on face recognition has become an integral part in the field of many engineering areas. The variation in the appearance of an human image makes proper face recognition a difficult task. However, face identification is an extremely important aspect of human identification system especially in gender identification system. Thus, this paper has aimed to detect the gender of human beings based on different frontal facial features. In this case we have considered facial images with different emotions like neutral, happy, sad, angry and surprised, respectively. To perform gender identification, frontal facial features are detected and extracted based on Region of Interest principle. Then, Fast Fourier Transform and Discrete Cosine Transform algorithmic logics have been incorporated to transform the input data from spatial domain to frequency domain, and on the resultant data further operations are performed to accomplish the task of gender identification. This has made the proffered algorithm different and unique from the existing algorithms. In addition, an alternate approach has also been proposed for gender identification and revelation based on the shape and structure of human finger nails. The latter method has primarily emphasized on the structural organization of finger nails in both male and female. The propounded algorithm has also succeeded in determining the gender of human being based on the shape and structure of human finger nails.