A Comparative Study of Human Thermal Face Recognition Based on Haar Wavelet Transform and Local Binary Pattern

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left"><br/>Spectrum</td><td align="center">Wavelength range</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">Visible spectrum </td><td align="center">0.4–0.7 <i>μ</i>m (micrometer/micron)</td></tr><tr><td align="left">Near infrared (NIR)</td><td align="center">0.7–1.0 <i>μ</i>m (micrometer/micron)</td></tr><tr><td align="left">Short-wave infrared (SWIR)</td><td align="center">1–3 <i>μ</i>m (micrometer/micron)</td></tr><tr><td align="left">Mid-wave infrared (MWIR)</td><td align="center">3–5 <i>μ</i>m (micrometer/micron)</td></tr><tr><td align="left">Thermal infrared (TIR)</td><td align="center">8–14 <i>μ</i>m (micrometer/micron)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Wavelength ranges for different infrared spectrums.

Computational Intelligence and Neuroscience

tab1

Table 1

Table 1: A Comparative Study of Human Thermal Face Recognition Based on Haar Wavelet Transform and Local Binary Pattern 