Abstract
Handwritten character recognition is a difficult job in the field of document retrieval and analysis. However the steps included in this procedure could be error prone because the Japanese language has over 3000 characters which can be classified as syllabic characters, or Kana, and ideographic characters, called Kanji. In addition there is no concept of delimiters like space, used to separate and placed between two different words. In organizations also, handwritten signatures and their identification play an important role in the term of security. Time consuming and cost effective computer generated signature identification is very complex process when it comes to Japanese handwritten text recognition, due to presence of similarly shaped, homomorphic characters in Japanese language. This note surveys some earlier attempts and presents a template to character recognition.
Published Version
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