Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

The writing style of the same writer varies from instance to instance in Arabic and English
handwritten digit recognition, making handwritten digit recognition challenging. Currently …

The past few decades have witnessed an intensive research on optical character
recognition (OCR) for Roman, Chinese, and Japanese scripts. A lot of work has been also …

A novel hidden Markov model (HMM) for recognition of handwritten Oriya numerals is
proposed. The novelty lies in the fact that the HMM states are not determined a priori, but are …

In recent years, deep learning has been extensively used in both supervised and
unsupervised learning problems. Among the deep learning models, CNN has outperformed …

This study demonstrates how the combination of oriented Basic Image Features (oBIFs) with
the background concavity features can be effectively employed to enhance the performance …

In this article, a two-stage classification system for recognition of handwritten Devanagari
numerals is presented. A shape feature vector computed from certain directional-view-based …

ABSTRACT Support Vector Machines (SVM) is used for classification in pattern recognition
widely. This paper applies this technique for recognizing handwritten numerals of …

A hidden Markov model (HMM) for recognition of handwritten Devanagari words is
proposed. The HMM has the property that its states are not defined a priori, but are …

This paper presents an overview of feature extraction and selection methods for recognition
of numerals & characters (Devnagari). Selection of a feature extraction method is probably …