Signature Region of Interest using Auto cropping
A new approach for signature region of interest pre-processing
was presented. It used new auto cropping preparation on the
basis of the image content, where the intensity value of pixel is
the source of cropping. This approach provides both the
possibility of improving the performance of security systems
based on signature images, and also the ability to use only the
region of interest of the used image to suit layout design of
biometric systems. Underlying the approach is a novel
segmentation method which identifies the exact region of
foreground of signature for feature extraction usage. Evaluation
results of this approach shows encouraging prospects by
eliminating the need for false region isolating, reduces the time
cost associated with signature false points detection, and
addresses enhancement issues. A further contribution of this
paper is an automated cropping stage in bio-secure based systems.
Keywords: Pre-processing, Normalization, skeletonization,
Region of interest, Cropping
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