The work presents the results of an investigation conducted to compare the performances of the Multi Layer Perceptron (MLP) and the Nearest Neighbor (NN) classifier for handwritten numeral recognition problem. The comparison is drawn in terms of the recognition performance and the computational requirements of the individual classifiers. The results show that a two-layer perceptron performs com...

The recognition of cursive script is regarded as a subtle task in optical character recognition due to its varied representation. Every cursive script has different nature and associated challenges. As Urdu is one of cursive language that is derived from Arabic script, that’s why it nearly shares the same challenges and difficulties even more harder. We can categorized Urdu and Arabic language ...

Transcription of handwritten words in historical documents is still a difficult task. When processing huge amount of pages, document centered approaches are limited by the trade-off between automatic recognition errors and the tedious aspect of human user annotation work. In this article, we investigate the use of inter page dependencies to overcome those limitations. For this, we propose a new...

In this study, we introduce a new set of one-dimensional discrete, constant length features to represent two dimensional shape information for HMM (Hidden Markov Model), based handwritten optical character recognition problem. The proposed feature set embeds the two dimensional information into a sequence of onedimensional codes, selected @om a code book. It provides a consistent normalization ...

Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since handwritten numerals contain many pattern variations which mostly depend upon individual writing styles. In this paper, we propose a recognition system using hybrid features and a combined classifier. To improve recogniti...

Handwritten script recognition is a interesting task that has been widely researched in the arena of computer vision and image processing. Tulu language Dravidian spoken coastal regions Southern part India. Recognition handwritten scripts important for preserving cultural heritage, historical documents, facilitating communication among native speakers. This survey paper provides an overview exi...

It is the problem of computer science that how we detect the handwritten character and word, so it is also the problem in the field of image processing and pattern recognition of computer science. The meaning of handwritten character and word recognition refers to the identification of the characters or word which is written by a human being. Our approach is this, how this problem solved correc...

Automatic recognition of handwritten Hindi characters is a difficult and one of the most interesting research areas of pattern recognition field. A lot of work has been done in this area till date; still it is a subject of active research. Hindi characters are cursive in nature and thus characters may be written in various cursive ways. Characters also show a lot of similar features such as hea...

The development of handwriting character recognition (HCR) is an interesting area in pattern recognition. HCR is the ability of a computer to receive and interpret intelligible handwritten input such as digital cameras and other devices. HCR system consists of a number of stages which are preprocessing, feature extraction, classification and followed by the actual recognition. Handwritten can b...