Research on Adaptive Face Gender Recognition Based on Compressive Sensing
2014 ◽
Vol 989-994
◽
pp. 4187-4190
◽
Keyword(s):
An adaptive gender recognition method is proposed in this paper. At first, do multiwavlet transform to face image and get its low frequency information, then do feature extraction to the low frequency information using compressive sensing (CS), use extreme learning machine (ELM) to achieve gender recognition finally. In the process of feature extraction, we use genetic algorithm (GA) to get the number of measurements of CS in order to gain the highest recognition rate, so the method can adaptive access optimal performance. Experimental results show that compared with PDA and LDA, the new method improved the recognition accuracy substantially.
2020 ◽
Vol 11
(1)
◽
pp. 17-26
◽
2014 ◽
Vol 568-570
◽
pp. 668-671
2011 ◽
Vol 211-212
◽
pp. 813-817
◽
2011 ◽
Vol 211-212
◽
pp. 808-812
2018 ◽
Vol 2018
◽
pp. 1-9
◽
Keyword(s):
2011 ◽
Vol 268-270
◽
pp. 82-87