Offline English Handwritten Word Recognizer Using Best Feature Extraction
نویسندگان
چکیده
Over several years lot of research has been done in handwritten word recognition but yet need for higher recognition rate still exist. In this paper we have proposed a method that performs preprocessing steps like skew and slant correction. It uses best structural features for feature extraction .Euclidean distance method is applied for classification that produces single matching word having minimum difference value. It is an effort towards automating postal services in Karnataka. We have considered 30 districts in Karnataka state written by 25 different writers Keywords—Handwritten word recognition, skew correction, slant correction, feature extraction.
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