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Suresh, R. M.
- Recognition of Handwritten Tamil Characters Using Statistical Classifiers
Authors
1 Department of Computer Science and Engineering, R.M.K Engineering College, Kavaraipettai, TamilNadu, IN
Source
Biometrics and Bioinformatics, Vol 2, No 7 (2010), Pagination: 125-135Abstract
This paper describes a system to recognize handwritten Tamil characters using statistical classifier approach, for a subset of the Tamil alphabet. The process of handwriting recognition involves extraction of some defined characteristics called features to classify an unknown handwritten character into one of the known classes. A typical handwriting recognition system consists of several steps, namely: preprocessing, segmentation, feature extraction and recognition. Data input (the hand written Tamil character) were collected from different writers on A4 sized documents. They were scanned using a flat-bed scanner at a resolution of 100 dpi and stored as 256-bit color scale images. We trained the system with 500 characters belonging to 10 characters. The testing data contained a separate set of 50 characters. A training data was used to test the system, to see how well the system represents the data it has been trained on. In the test set, a recognition rate of 90% was achieved.
Keywords
Preprocessing, Segmentation, Feature Extraction, Character Recognition.
- Applications of Telemedicine in Biomedical Images Using Similarity Measurement
Authors
1 Department of Computer Science and Engineering, V.M.K.V Engineering College, Salem, IN
2 Polytechnic College, Salem, IN
3 Department of Computer Science and Engineering, R.M.D. Engineering College, Chennai, IN
Source
Biometrics and Bioinformatics, Vol 1, No 8 (2009), Pagination: 120-126Abstract
Computer and its applications have become indispensable and invaluable in the lives of human beings. One such application is the field of medicine. In addition to the actual electronic gadgets and instruments, computers play a vital role in the communicative aspects in the field.For instance, it serves as a link in three different formats and these links are exceptionally advantageous and enduringly spectacular.
Medical Professional and Patient
Medical Professional and Medical Professional
Medical Professional and data bank
Thus roles are three dimensional in approach and definition-diagnostic, consultative and referential. Though the above description may, on the whole, look simple and explicit, they are not without practical problems. But their utilitarian values are immense and far reaching.
One such practical aspect of telemedical application with its humanistic approach is the possibility of making available biomedical images in medicine to any one in any part of the global who is in dire need of it.
At present, the individuals, the medical instruments or the professionals keep records of the diagnosis, treatment and prognosis of patients and the sharing of this information among the medical fraternity are not only time consuming and costly but also almost impossible with the current deficiency in communicative capabilities. In order to make the telenetworking of bio medical images to facilitate its availability to whomsoever needs it, the present approach is attempted in this study. Further, the inadequacy of the present system could be explained thus.
At present, image database and textual explanations are put together and made available to the seekers with queries. But no methodology or system is available to specially cater to the needs of the enquiry made. No tool also presently enables the seeker of a solution to a problem to have direct access to the contents or differential patterns that he needs. Therefore an attempt is made to create visual-based (i.e. content based) interfacing and retrieval based on the information contained in the pixel data of medical images that is expected to have a greet impact on biomedical image databases.
The present study undertakes to introduce and interface advanced biomedical CBIR with the new, very commonly available web based systems and also link the new collaborative efforts among the existing research work or the new CBIR deployments in biomedical environments where the impact is presumed to be very high. The planned or proposed methodology would facilitate effective and expedient communicator between the medical professionals and their patients.
The patients could also conveniently send their medical data/image/information through the wired/wireless networks. Thus, such a system saves;time, energy and cost in the diagnostic or consultative study and also provides easy access and retrieval of the large store house of data available all over the world.