Each day, billion of business and financial documents have to be processed by computer. The great bulk of them are still processed manually by human operators, the most common and labor-consuming operation being document amount reading and typing. A common way to automate the process is to replace the human operator with an off-line recognition system that is able to do the operator's job. Pattern recognition includes such applications as speech and character recognition for various languages, visual image recognition and classification. Writing has been the most natural mode of collecting, storing and transmitting information through the countries, now serves not for communication among human but also serves for communication of human and machines.
Handwritings can be used for forensic tasks and for person authentication. According to the way handwriting data is generated, two different approaches can be distinguished: on-line and off-line. The data are captured during the writing process by a special pen on an electronic surface in online system. In off-line recognition system, the data are acquired by a scanner after the writing process is over. Recognition of off-line character is more-complex than the on-line case due to the presence of noise in the image acquisition process and the loss of temporal information such as the writing sequence and the velocity. This information is very helpful in a recognition process.
Method to recognize handwritten words are well known and widely used for many different languages. Hidden Markov Models (HMM) have been very successfully implemented for recognizing cursive written words. The process of recognition system involves preprocessing, segmentation, feature extraction, and classification. Several type of decision method including statistical methods, neural networks, structural matching (on trees, chains, etc) and stochastic processing (Markov chains, etc) will use along with different types of features.
The both of Myanmar handwriting and English handwriting are performed in the Character recognition research work. An automatic data entry system for Myanmar bank cheque and Myanmar passport are developed.
In Collaboration with University of Computer Studies, Yangon and Myanmar Computer Professionals Association (MCPA) will be held the 9th MCPA Day on 4th March, 2020 at 9:30 am.
Research Showcase, and Discussion for possible research collaboration with foreign universities.
The academic year 2019-2020 mid term examination will be held according to the time table in the University of Computer Studies, Yangon.
The 23nd Conference of Oriental COCOSDA will be hosted by the University of Computer Studies, Yangon (UCSY). With the Myanmar hosting Oriental COCOSDA for the first time, we turn a new leaf to continually help boost the research and development in the field of speech technology and for further enthusiasm towards speech technology in East and Southeast Asia.
Myanmar Universities’ Research Conference (2020) will be an online event via zoom application on 25-27 June 2020. (Detailed program will be announced later).
The National Journal of Parallel and Soft Computing will be published in University of Computer Studies, Yangon on 2020.
13th International Conference on Project Management, Yangon, Myanmar, 12 November - 16 November, 2019