Character Recognition (CR) has been studied from the past several decades, and is still a demanding research topic in the field of pattern recognition and image processing. There is a large demand for Optical Character Recognition on hand written documents. Now days, the rapidly growing computational power enables the implementation of the present Character Recognition methodologies and creates...

Recognition of vehicle license plates is an important task that can be applied for a myriad of real scenarios. Most approaches in the literature first detect an on-track vehicle, locate the license plate, perform a segmentation of its characters and then recognize them using an Optical Character Recognition (OCR) approach. However, these approaches focus on performing these tasks using only a s...

In pattern recognition there is a variety of applications where the patterns are classi ed using edit distance. In this paper we present some results comparing the use of tree and string edit distances in a handwritten character recognition task. Some experiments with di erent number of classes and of classi ers are done.

Chinese Handwritten character recognition is an emerging field in Computer Vision and Pattern Recognition. Documents acquired through Scanner, Mobile or Camera devices are often prone to Skew and Correction of skew for such document is a major task and important factor in optical character recognition. The goal of the work is to correct skew for the documents. In this paper we have proposed a n...

One of the key problems in supervised learning is the insuucient size of the training set. The natural way for an intelligent learner to counter this problem and successfully generalize is to exploit prior information that may be available about the domain or that can be learned from prototypical examples. We discuss the notion of using prior knowledge by creating virtual examples and thereby e...

Background and Experience: I am a postdoctoral researcher working in the area of activity recognition in smart environments. In particular, I am exploring machine learning and pattern recognition frameworks for recognizing activities in large scale datasets(data collected over months) gathered from realworld environments. My doctoral dissertation focused on a computational framework for wearabl...

1 Pulkit Tandon, 2 Geogen George 1 M.Tech Scholar, 2 Assistant Professor 1 I.T Dept., SRM University, Chennai, Tamil Nadu, India 2 I.T Dept., SRM University, Chennai, Tamil Nadu, India [email protected], [email protected] ________________________________________________________________________________________________________ Abstract: Device security are the major challenges faced b...

The offline handwriting recognition is one of the difficulties of pattern recognition, feature extraction results directly affects the recognition rate. Firstly, various existing structural features and statistical features will be analyzed, and feature fusion and feature extraction methods will introduction briefly. Finally, a method for feature extraction is presented, which is developed base...

In this paper, we are presenting a new approach for gender & age determination based on image mining with C means clustering. Image Mining is an area which is used for pattern recognition & other application.

Advancements of Computer technology has made every organization to implement the automatic processing systems for its activities. One of the examples is the recognition of handwritten characters, which has always been a challenging task in image processing and pattern recognition. In this paper we propose Zone based features for recognition of the handwritten characters. In this zoning approach...