International Science Community Association Research Journal of Recent Sciences 2277 - 2502 3 9 2014 September 2 Face Recognition using Weighted Distance Transform 19 25 EN Yasrebdoost Hadi 1 Management Dept, Tabriz Branch, Islamic, Azad University, Tabriz, IRAN SarbazyMoghadam Saeid 2 SalmaGhassem Bagloo 3 Hassanpoor Davood 1 Department of Accounting, Faculty of Management and Accounting, Gilan Science and Research Branch, Islamic Azad University, Gilan, IRAN Pourali MohammadReza 2 Ghatge N.S. 1 Pravara Rural Education Society’s; Home Science and BCA College, Loni. Taluka -Rahata, District-Ahmednagar, Gujarat, INDIA Ashraf Muhammad 1 Department of Computer Science, Federal Urdu University of Arts, Sciences and Technology, Karachi, PAKISTAN Sarim Muhammad 2 Shaikh AbdulBasit 3 Sheikh KashifRaffat 4 Nadeem Adnan 5 Ahsan Kamran 6 Siddiq Muhammad 7 > Research Paper 2013 10 11 2014 September 2 In recent years the task of ecognizing human face with the help of a machine has acquired a significant attention among researchers. A wide range of commercial and law enforcement applications largely accounts for this developing trend. Although current face ecognition systems have reached a certain maturity level they are still far away from the capability of human perceptual system. In a 2D image the unique facial appearance normally consists of intensity curvatures which may be incorporated for ecognizing human face. This work inestigates the use of weighted distance transform to bring improvements in face ecognition. The weighted distance transform takes into account both the spatial distance among pixels and the local intensity variations. A standard face dataset is used to alidate the proposed method. The obtained results are comparable to the state-of-the-art face ecognitiontechniques. Copyright@ International Science Community Association