This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …

The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …

In this paper, robust algorithms for character segmentation and recognition are presented for
multilingual Indian document images of Latin and Devanagari scripts. These documents …

This paper presents an efficient handwritten digit recognition system based on support
vector machines (SVM). A novel feature set based on transition information in the vertical …

In this paper, we present a metacognitive sequential learning algorithm for a neuro-fuzzy
inference system for classification tasks, which is referred to as a “metacognitive neuro-fuzzy …

This paper proposes an optimization method for designing type-2 fuzzy inference systems
based on the footprint of uncertainty (FOU) of the membership functions, considering three …

The ability to control data and information through the Internet can be challenging.
Preliminary analysis showed that some tampering and forgery may occur to some words of …

An emotion recognition method from the face images is proposed in this paper, which can
recognize seven emotions of human, ie, six basic expressions in addition to neutral. The …

This paper addresses the problem of text recognition with overlap** and touching
characters which is very challenging task due to its inability to be segmented effectively. A …

In this paper text segmentation in generic displays is proposed through learning the best
binarization values for a commercial optical character recognition (OCR) system. The …