Character Recognition with Minimum Edit Distance Method
Abstract: Character Recognition is performed using Multilayer preceptor neural network. Number of hidden layer nodes is determined to achieve high performance back propagations network in the recognition of Characters. ICR software has a self-learning system referred to as a neural network, which automatically updates the recognition database for new handwriting patterns. It extends the usefulness of scanning devices for the purpose of document processing, from printed character recognition (a function of OCR) to hand-written matter recognition. We also compared ICR with OCR and OMR with the Edit distance method refers to the distance in which insertions and deletions have equal cost and replacements have twice the cost of an insertion.
Keywords: Character Recognition, ICR, Feature Extraction, Edit Distance Method
How to Cite?: Parul Vashist, K. Hema, "Character Recognition with Minimum Edit Distance Method", Volume 2 Issue 4, April 2013, International Journal of Science and Research (IJSR), Pages: 457-462, https://www.ijsr.net/getabstract.php?paperid=IJSRON1201324, DOI: https://dx.doi.org/10.21275/IJSRON1201324