Identification system by Tongue based on Bhattacharyya distance

Abstract Tongue recognition is a biometric technique that can be applied to different areas of expression of human identity. Recognition of the tongue is a difficult and complex problem that is important for surveillance, security, and intelligent interaction between computers and humans. The main idea of proposed system rely that on that any image of a person’s tongue has multiple unique features. Those features vary from on tongue to another. The system proposed in this paper uses group, the Extract the characteristics based on the wavelet Transform where it uses information color (color space RGB) at a certain form of detailed wavelet transforms (discrete wavelet transform), and use of Bhattacharyya distance for comparison between persons. The tongue datasets that are used for of the suggested system are gathered from 30 volunteers of various samples; 4 have been from every individual, images have been captured in various expressions, illuminations, orientations, skin colors, backgrounds, varied in the age) from male and female, results indicated the discrimination rate for waveleting 72%, persons were recognized using Bhattacharyya distance by 93%.