Paper Details

In this paper we study the implementation of an efficient fuzzy logic based algorithm to detect the edges of aninput image by using MATLAB environment. We segmenting the images into regions by using 2x2 binary matrix. Fuzzyinference system designed has four inputs, which corresponds to four pixels of instantaneous scanning matrix. Oneoutput tells whether the pixel under consideration is ‘black’, ‘white’ or ‘edge’ pixel. Rule base comprises of sixteen rules,which classify the target pixel. Biometric technique is the study of methods for differentiating human beings. The humanbeings can be distinguished on the basis of physical or behavioral characteristics. In recent parts finding good biometrictechnique has been result human parts extensively. Among various biometric attributes, the reference line cut point,corresponding angles in addition to height of the human parts are the main parameters for the recognition of humanparts. The captured human parts images can be improved by surrounding noise appropriate filter in addition to so theaccuracy can be increased. This paper given image in addition to determine the shape. We can apply Canny EdgeDetection by setting the threshold value. We can find the midpoints using distance formula. The Canny Edge Detectiongives better performance than other method. We have applied the input gives easy in addition to stable way to identity aperson. We can identify the outer curve of the human parts from the parts in ANN classifier for the classification ofhuman parts. Finally, this study shows that it can be able to identify the human face

M.Jansirani, Dr.P.Sumitra, “THE HUMAN IDENTIFICATION SYSTEM USING BIOMETRICAL FEATURE IN EDGE BASED DIGITAL METHOD”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 2, pp. 1172-1175, February 2018.