A Simplified Method for Handwritten Character Recognition from Document Image

A Simplified Method for Handwritten Character Recognition from Document Image

This paper presents a simple and effective technique for converting handwritten textual character from paper document into machine readable form. The proposed method takes the scanned image of the handwritten character from paper document as input and shows the recognized character as its output. Using this method, the object in the converted binary image is segmented and is resized in a global...

Handwritten Kannada Document Image Processing using Optical Character Recognition

The objective of Optical Character Recognition (OCR) is automatic reading of optically sensed document text materials to translate human-readable characters to machinereadable codes. In Optical Character Recognition, the text lines in a document must be segmented properly before recognition. English Character Recognition (CR) has been extensively studied in the last half century and progressed ...

Transductive Learning for Document Classification and Handwritten Character Recognition

Comparison of Image Analysis for Thai Handwritten Character Recognition

This paper is proposing tlie method for Thai handwritten character recognition. The methods are Robust C-Prototype and Bacl-c-Propagation Neural Network. The objective of experimental is recognition on Thai handwritten character. This is the result of both methods to be appearing accuracy more than 85%.

Handwritten Character Recognition: A Review

This paper presents an insight into the state-of-art in handwriting recognition systems and describes the evolution and progress in the field. An in-depth literature survey of Indic script recognition systems for Bangla, Devnagari, Gurumukhi, Kannada, Malayalam, tamil, and Urdu is presented. This study focuses on multitude of feature and classification techniques giving an insight into the effi...