چکیده (انگلیسی):

Active contours also known as snakes became a familiar and
widely used in the field of image segmentation and restoration of historical
documents in last few decades. Gradient Vector Flow (GVF) snake
successes in overcome of converge to boundary concavities which
represents the drawback of traditional snakes. Deep concavity problem it
has become Obstacle faced GVF snake when restoring broken characters
of historical documents. In this study we proposed algorithm to use
genetic algorithm with GVF snake algorithm in order to optimize snake
points to get right positions in deep concavity boundaries, also adding a
Divergence factor as the third force to enhance the restoring and
recognizing results. The experimental results show that our proposed
algorithm has more capture than GVF alone.