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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/7109| Title: | Recognition of human front face in Grayscale Images |
| Authors: | Mohamed Rizon, Mohamed Juhari Phaklen Ehkan Ahmad Nasir, Che Rosli |
| Keywords: | Face recognition Iris detection Template matching Recognition system Detectors Image processing Human face recognition (Computer science) |
| Issue Date: | 18-May-2005 |
| Publisher: | Kolej Universiti Kejuruteraan Utara Malaysia |
| Citation: | p. 157-159 |
| Series/Report no.: | Proceedings of the 1st National Conference on Electronic Design |
| Abstract: | We propose a new technique to recognize the unknown person in grayscale face images for which the position, scale and image-plane rotation of the face are unknown. The proposed system detects the iris of both eyes and normalizes the position, scale and image-plane rotation of the face using iris positions. The algorithm measures the degree of matching between the image and the face template of each person using normalized crosscorrelation value. Recognition of a human face is done using the highest degree of matching. |
| Description: | Organized by Kolej Universiti Kejuruteraan Utara Malaysia (KUKUM), 18th-19th May 2005 at Putra Palace Hotel, Kangar |
| URI: | http://dspace.unimap.edu.my/123456789/7109 |
| Appears in Collections: | Conference Papers Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Recognition of Human Front Face in Grayscale Images.pdf | 184.67 kB | Adobe PDF | View/Open |
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