This　paper　proposed　a　face　recognition　algorithm　based　on　conjugate　gradient　extreme　learning　machine.　General　extreme　learning　machine　algorithm,　which　is　gained　by　using　method　of　calculating　generalized　inverse,　the　process　is　a　large　amount　of　computation　and　memory　consumption.　For　this　problem,　this　paper　proves　the　positive　definiteness　of　the　calculated　matrix,　and　based　on　this,　an　extreme　learning　machine　solution　algorithm　based　on　conjugate　gradient　algorithm　was　proposed　and　kernel　function　is　introduced　to　improve　its　nonlinear　classification　performance.　At　the　same　time,　DAG　method　is　used　to　extend　the　binary　classification　conjugate　gradient　extreme　learning　machine　to　multi-classification　problems.　Experimental　results　show　that　the　computational　speed　of　the　algorithm　in　this　paper　is　faster　than　that　of　the　general　extreme　learning　machine　algorithm,　and　the　classification　accuracy　is　higher　than　that　of　the　general　extreme　learning　machine　algorithm.　©　COPYRIGHT　SPIE.　Downloading　of　the　abstract　is　permitted　for　personal　use　only.