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@article{145069,
        author = {GAYATRI GURAV and S.N.PATIL},
        title = {AUTOMATIC BLOOD GROUP CLASSIFICATION BASED ON SVM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {7},
        pages = {382-387},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145069},
        abstract = {This paper presents a methodology for classification of blood type using image processing technique which uses support vector machine as classifier. Investigation of blood type is most important before administering a blood transfusion in an emergency situation. Numbers of systems were invented to automate these tests; most of them are unable eventually for emergency situations. At present, Plate test procedure carried out manually in laboratory by technicians for human blood group diagnosis. Recent procedure consumes time in determination of blood type. And as it is carried out manually it also tedious with large amount of blood samples which may cause wrong results. Some of the disadvantages like non standardized accuracy, Slowness are appears in manual testing. The intention of this work is to classify blood groups automatically using support vector machine and provide results in shortest possible period with precision and accuracy.},
        keywords = {Blood type detection, Image processing, GLCM, SVM classifier.},
        month = {},
        }