Character recognition is one of the challenging tasks of pattern recognition and machine
learning arena. Though a level of saturation has been obtained in machine printed character …

Character recognition is a challenging area in Machine Learning, Pattern Recognition or
Image Processing. The accuracy to recognize handwritten character by human is far better …

Odia character and digits recognition area are vital issues of these days in computer vision.
In this paper a Hopfield neural network designe to solve the printed Odia character …

The performance of any machine learning model largely depends on the type of input data
provided. The higher the volume and variety of the data, the better the machine learning …

Offline handwritten character recognition (OHCR) is considered a challenging task in pattern
recognition due to the inter-class similarity and intra-class variations among the symbols …

Extraction of feature and classification methods are important phases in recognition system.
A good classifier and extraction of features that suits play a very important role in a …

In pattern recognition, the automatic identification of image-based input patterns by machine
is an important problem. The need to convert images taken with tools such as cameras into …

Aim: The suggested goal consists of analyze handwriting alphabet recognition employing
Ridge Linear classification as opposed to Random Forest. Materials and Methods: The …

OCR is the recognition of characters from digitized documents and the OCR systems tries to
eliminate human interactions with computer and now days for better result and effectiveness; …

Te performance of any machine learning model largely depends on the type of input data
provided. Te higher the volume and variety of the data, the better the machine learning …