The wide area of the application of HMM is in Speech Recognition where each spoken word is considered as a single unit to be recognized from the trained word network. Using this concept some research has been done for ...

Research on automatic speech recognition has been approach progressively since 1930 and the major advances are since 1980 with the introduction of the statistical modeling of speech with the key technology Hidden Markov ...

Research on recognizing Bengali script has been started since mid 1980’s. A variety of different techniques have been applied and the performance is examined. In this paper we present a high performance domain specific OCR ...

Tesseract is considered one of the most accurate free software OCR engines currently available. It was originally developed by Hewlett-Packard from 1985 until 1995, and is currently maintained by Google. At present, Tesseract ...

This paper addresses the issue of building a Bangla lexicon with a collaborative effort through stand alone application and web based interface. The words in the lexicon will be annotated with a combination of tags addressing ...

In this paper we present the training and recognition mechanism of a Hidden Markov Model (HMM) based multi-font Optical Character Recognition (OCR) system for Bengali character. In our approach, the central idea is to ...

Abstract-Research on recognizing Bengali script has been started since mid 1980’s. A variety of different techniques have been applied and the performance is examined. In this paper we present a high performance domain ...

Segmentation is the most challenging part of Bangla optical character recognition (OCR). To solve the problems of joining errors, several algorithms have been proposed in the literature, with varying degrees of accuracy. ...