| Type of Material: | Thesis |
| Title: | FACE RECOGNITION USING TEXTURE AND SHAPE FEATURES |
| Researcher: | M. SURESH |
| Guide: | V. SUBBIAH BHARATHI |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2013 |
| Language: | English |
| Subject: | Zernike Moment | Orthogona | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2013; D06CS011 |
| Fulltext: | Shodhganga |
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| 008 | __ | 240912t2013||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454527 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aM. SURESH|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aFACE RECOGNITION USING TEXTURE AND SHAPE FEATURES |
| 260 | __ | |aChennai|bBharath University, Chennai|c2013 |
| 300 | __ | |dDVD |
| 502 | __ | |cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2013|oD06CS011|bPhD |
| 518 | __ | |oDate of Registration|d2006-01-02 |
| 520 | __ | |aA face recognition system has to associate an identity or name for each face it comes across by matching it to a large database of individuals. Automatic face detection and recognition has been a difficult problem in the field of computer vision for several years. Although humans perform the task in an effortless manner, the underlying computations within the human visual system are of tremendous complexity. Furthermore, the ability to find faces visually in a scene and recognize them is critical for humans in their everyday activities. Consequently, the automation of this task would be useful for many applications including security, surveillance, gaze-based control, affective computing, speech recognition assistance, video compression and animation. Development of automated face recognition system involves addressing challenges such as Facial expression change, Illumination change, Aging, Rotation, Size of the image, Frontal vs. Profile. Overall face recognition mainly consists of three stages. First stag |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aZernike Moment |
| 653 | __ | |aOrthogona |
| 700 | __ | |aV. SUBBIAH BHARATHI|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170884|yShodhganga |
| 905 | __ | |afromsg |
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