Title :
An evaluation of parallel thinning algorithms for character recognition
Author :
Lam, Louisa ; Suen, Ching Y.
Author_Institution :
Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada
fDate :
9/1/1995 12:00:00 AM
Abstract :
Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 parallel thinning algorithms from this perspective by gathering statistics from their performance on large sets of data and examining the effects of the different thinning algorithms on an OCR system
Keywords :
optical character recognition; parallel algorithms; reviews; OCR; character recognition; parallel thinning algorithms; preprocessing; skeletonization; Character recognition; Databases; Image processing; Iterative algorithms; NIST; Noise shaping; Optical character recognition software; Skeleton; Statistics; Writing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
