Urdu Qaeda: Recognition System for Isolated Urdu Characters
نویسندگان
چکیده
This paper presents an online system for recognizing isolated, hand-sketched Urdu characters drawn on a Tablet PC. Attributes of Urdu characters are analyzed to define a set of features which are then trained and classified using a weighted, linear classifier. As a proof of concept, we have integrated our recognition algorithm into an application used to help people learn the Urdu language. Preliminary results obtained from our studies showed an accuracy of 92.8% for native Urdu writers. Author
منابع مشابه
Optical Character Recognition System for Urdu Words in Nastaliq Font
Optical Character Recognition (OCR) has been an attractive research area for the last three decades and mature OCR systems reporting near to 100% recognition rates are available for many scripts/languages today. Despite these developments, research on recognition of text in many languages is still in its early days, Urdu being one of them. The limited existing literature on Urdu OCR is either l...
متن کاملA New Large Urdu Database for Off-Line Handwriting Recognition
A new large Urdu handwriting database, which includes isolated digits, numeral strings with/without decimal points, five special symbols, 44 isolated characters, 57 Urdu words (mostly financial related), and Urdu dates in different patterns, was designed at Centre for Pattern Recognition and Machine Intelligence (CENPARMI). It is the first database for Urdu off-line handwriting recognition. It ...
متن کاملRecognition of Printed Urdu Script
This paper deals with an Optical Character Recognition system for printed Urdu, a popular Indian script. The development of OCR for this script is difficult because (i) a large number of characters have to be recognized (ii) there are many similar shaped characters. In the proposed system individual characters are recognized using a combination of topological, contour and water reservoir concep...
متن کاملOCR For Printed Urdu Script Using Feed Forward Neural Network
This paper deals with an Optical Character Recognition system for printed Urdu, a popular Pakistani/Indian script and is the third largest understandable language in the world, especially in the subcontinent but fewer efforts are made to make it understandable to computers. Lot of work has been done in the field of literature and Islamic studies in Urdu, which has to be computerized. In the pro...
متن کاملLinear Discriminant Analysis Based Approach for Automatic Speech Recognition of Urdu Isolated Words
Urdu is amongst the five largest languages of the world and enjoys extreme importance by sharing its vocabulary with several other languages of the Indo-Pak. However, there has not been any significant research in the area of Automatic Speech Recognition of Urdu. This paper presents the statistical based classification technique to achieve the task of Automatic Speech Recognition of isolated wo...
متن کامل