Heuristic based Face Recognition using Image Processing Techniques
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10.5120/4094-5971 |
G.Suvarna Kumar, Prasad P V G D Reddy, Sumit Gupta and R.Anil Kumar. Article: Heuristic based Face Recognition using Image Processing Techniques. International Journal of Computer Applications 34(6):12-17, November 2011. Full text available. BibTeX
@article{key:article,
author = {G.Suvarna Kumar and P.V.G.D Prasad Reddy and Sumit Gupta and R.Anil Kumar},
title = {Article: Heuristic based Face Recognition using Image Processing Techniques},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {34},
number = {6},
pages = {12-17},
month = {November},
note = {Full text available}
}
Abstract
This paper introduces a new technique for face recognition in controlled domains by learning additional information using heuristics. Multiple faces, some of which with very low resolution and blurred onws are recognized by learning heuristics over time. Heuristics derived from seat to student correlation, student to student correlation, dress color, and skin color have been proposed. The algorithm Heuristic Supplemented PCA (HSPCA) has been tested over several hours of different video sequences gathered from classrooms with around 30 students in each class. It has been observed that the performance improves over time, with the recognition rate using heuristics contributing significantly as time progresses.
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