[Retracted] Key Technologies of Face Sensor Recognition Entry System for New Energy Vehicles Based on Particle Swarm Neural Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">Recognition rate%</td><td class="align_center">Time (s)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Wavelet+DCT+BP</td><td class="align_center">81.9</td><td class="align_center">266.03</td></tr><tr><td class="align_left">Weighted wavelet+DCT+BP</td><td class="align_center">84.4</td><td class="align_center">271.37</td></tr><tr><td class="align_left">Author algorithm</td><td class="align_center">91.8</td><td class="align_center">132.49</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of recognition rates of different algorithms.</div>

Journal of Sensors

tab2

Table 2

Table 2: [Retracted] Key Technologies of Face Sensor Recognition Entry System for New Energy Vehicles Based on Particle Swarm Neural Network 