| 000 -LEADER |
|---|
| fixed length control field |
00925nam a2200169Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200308073529.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190927s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
T T299 2013 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Teves, Hara Danica A. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Gender recognition using sift |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of Publication |
Cebu City |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of Publisher |
CIT-U |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of Publication |
2013 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
This paper recognizes gender through the person?s face. Extraction of face and facial features are done using Emgu. The extracted face is then used for skin detection to eliminate minimal background and then edge detection, including the facial features, to get the shape and structure of the extracted images. The shape of the face and the facial features are then passed and used SIFT to get interest points of the image. Each is determined by gender using Neural network and then passed to the fuzzy logic and finally recognizes the person?s gender. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| -- |
000-099 |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Item type |
RESERVED BOOKS |
| Source of classification or shelving scheme |
|