Tamil HandWritten Word Recognition with Entrenched Attributes using k-Means Algorithm

Handwritten Tamil Character Recognition Using RCS Algorithm

Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal h...

Handwritten Tamil Character Recognition Using RCS Algorithm

Handwritten character recognition is a difficult problem due to the great variations of writing styles, different size and orientation angle of the characters. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal h...

Holistic Farsi handwritten word recognition using gradient features

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

Handwritten ZIP code recognition using lexicon free word recognition algorithm

This paper describes a new approach to ZIP code recognition using a word recognition algorithm, where a numeral string is recognized as a word. This paper also describes an end to end ZIP code recognition system consisting of tiltlslant correction, line segmentation, word segmentation, ZIP code location, as well as the ZIP code recognition. Evaluation tests are performed using address block ima...

K-means Clustering Algorithm for Categorical Attributes