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@article{144012,
        author = {Bhuriya Harshad Chunilal and Milin M. Patel},
        title = {A Survey on Feature Extraction Techniques for Recognition of English Printed Characters },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {5},
        pages = {111-118},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144012},
        abstract = {OCR stands for Optical Character Recognition, OCR is a generic process in area of intensive research field of artificial intelligence, pattern recognition and computer vision, aims to recognition of text from scanned printed document images, where data can be in machine printed format.  OCR system consist of basically four stages which are pre-processing, segmentation, feature extraction and classification and followed by the actual recognition. The feature Extraction technique plays vital role in recognition of segmented printed character images. The work of off-line character recognition of printed document images containing English Alphanumeric characters has been presented statistical, structural, directional feature extraction techniques have been applied over segmented character image.},
        keywords = {OCR, SVM, PCA, ICR, BB},
        month = {},
        }