A robust local feature matching scheme for recognition of occluded obj
ects is developed and reported in this letter. The proposed scheme is
computation efficient and can handle the nonlinear distorted local fea
tures. A set of handtools is selected to evaluate the performance of t
he algorithm and the results are encouraging.