Call For Paper Volume:4 Issue:8 Aug'2017 |

AN EXAMINING FACE RECOGNITION BY LOCAL DIRECTIONAL NUMBER PATTERN

Publication Date : 02/07/2015



Author(s) :

J.NITHYA , P.Sathyasutha.


Volume/Issue :
Volume 2
,
Issue 6
(07 - 2015)



Abstract :

The main objectives of this paper is an find out the human Emotion From Human Gray scale Image (B/W Image) using an FER(Facial Expression Recognition) Method’s using LDN method. The proposed Local Directional Pattern (LDP) is an eight bit binary code assigned to each pixel of an input image. This pattern is calculated by comparing the relative edge response value of a pixel in different directions. This paper proposes a novel local feature descriptor, local directional number pattern (LDN) for face analysis, (i.e) face and expression recognition. LDN encodes the directional information of the face’s textures (i.e) the texture’s structure in a compact way, producing a more discriminative code than current methods. The system compute the structure of each micro-pattern with the aid of a compass mask that extracts directional information, and its encode such information using the prominent direction indices (directional numbers) and sign which allows to distinguish among similar structural patterns that have different intensity transitions. The system divides the face into several regions, and extracts the distribution of the LDN features. The system concatenates these features into a feature vector and uses a face descriptor. It performs several experiments in which face descriptor performs consistently under illumination, noise, expression and time lapse variations. Moreover, test with different masks to analyze its performance in different face analysis task


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AN EXAMINING FACE RECOGNITION BY LOCAL DIRECTIONAL NUMBER PATTERN

July 1, 2015