Handwriting is, eventually, a variation of the printed forms where the characters are little
larger, smaller, angled and deformed than the printed forms. The small changes in …

As a result of advances in optical character recognition research, several techniques for
handwritten character recognition have surfaced. These techniques require good quality …

Convolutional neural network (CNN) based methods have succeeded for handwritten
numeral recognition (HNR) applications. However, CNN seems to misclassify similarly …

The present work is concerned with handwritten and printed numeral recognition based on
an improved version of the loci characteristic method (CL) for extracting the numeral …

Handwritten character recognition is a difficult problem due to the great variations of writing
styles, different size of the characters. Multiple types of handwriting styles from different …

Recognizing circuit sketch is very useful for electrical engineers. In this project, we use
topology based segmentation method to segment circuit sketch, and classify each …

This research demonstrated a technique for hand geometry biometric verification using hand
contour matching. Hand shape feature is obtained by using a chain code method. Since the …

ABSTRACT Recognition of Handwritten Mathematical Expression (ME) is one of the most
fascinating and challenging research area in the field of Image Processing and Pattern …

This paper proposes a new approach of features extraction based on structural and
statistical techniques for handwritten, printed and isolated numeral recognition. The …

In this paper, we present a new method to describe online Arabic characters. This is based
on a vector of sequence sets features per point to be fed to classifier. After the preprocessing …