The algorithms provide overall successful identification of 92.50% for tip cap and 89.58% for germ surface feature among four corn varieties of xhg, xn12, wn14 and wc. This constitutes a great step towards computing feature parameters of corn kernel.

• 算法对4个品种xhg、xn12、wn14、wc玉米籽粒尖端、表面特征的综合识别率分别为92.；50%25和89