To　extract　a　pure　eyebrow　image　from　an　original　image　rapidly　and　steadily,　an　eyebrow　segmentation　method　based　on　watershed　and　K-means　algorithm　was　presented,　which　was　called　W-K　algorithm.　First,　a　number　of　eyebrow　pixels　and　non-eyebrow　pixels　by　manually　scratching　several　simple　lines　on　an　original　eyebrow　image　were　labeled;　Second,　the　watershed　algorithm　was　used　to　produce　catchment　basins,　and　them　were　clustered　by　K-means　algorithm;　Finally,　a　pure　eyebrow　image　was　extracted　by　eyebrow　pixel　filtering.　Experiment　results　show　that　it　can　segment　pure　eyebrow　images　in　high　speed　and　good　performance　for　preprocessing　to　improve　eyebrow　recognition　accuracy.