Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to notes manually. character recognition is considered as a core diversity of emerging application by using concepts machine learning. It used widely for performing practical applications such reading computerized bank cheques. However, executing system carry out ...

In this paper we present an approach to the problem of segmenting and identifying handwritten annotations on noisy document images. In many types of documents such as correspondence, it is not uncommon for handwritten annotations to be added as part of a note, correction, clarification, or instruction, or for initials or a signature to appear as an authentication mark. It is important to be abl...

The orthographies of several languages, such as Yoruba, Arabic, Tshivenda, Ciluba, French, German, and Dutch, use diacritics. These diacritics pose an additional challenge to a character recognition system. Using diacritically-marked uppercase Yoruba letters as a case-study, this paper presents one strategy for addressing this problem. In particular, we present a system for the automatic classi...

The aim of this paper is to establish random coincidence point results for weakly increasing random operators in the setting of ordered metric spaces by using generalized altering distance functions. Our results present random versions and extensions of some well-known results in the current literature.

handwritten digit recognition can be categorized as a classification problem. probabilistic neural network (pnn) is one of the most effective and useful classifiers, which works based on bayesian rule. in this paper, in order to recognize persian (farsi) handwritten digit recognition, a combination of intelligent clustering method and pnn has been utilized. hoda database, which includes 80000 p...

A reliability evaluation system for the recognition of Devanagri Numerals is proposed in this paper. Reliability of classification is very important in applications of optical character recognition. As we know that the outliers and ambiguity may affect the performance of recognition system, a rejection measure must be there for the reliable recognition of the pattern. For each character image p...