Abstrakt

Handwritten Document Editor: A Review

Sumit Nalawade, Rashmi Welekar, Raj Dugar

In the current era, handwriting recognition & personalization of document is becoming concern of many researchers. It has most significant applications in many fields such as Optical Character Recognition, Security Systems etc. Also in daily uses such as banks, post offices, businesses. Personalization is key to the future of one’s identity. This paper provides a comprehensive review of various methods used for character recognition such as Neural Networks, Support Vector machines, K-NN classifier and provides a short review of Binary Coded Genetic Algorithm which can be used for speed optimization of the classification process. This paper also gives a snapshot of Marching Squares Algorithm which is a basic procedure for tracing contour points on images.