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@article{151958,
        author = {Aditya Nikam and Jatin Lanje and Harshit Kumar and Bhavesh Chaturvedi and Monali Chinchamalatpure},
        title = {Real Time Handwritten Digit Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {123-128},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151958},
        abstract = {ARecognition of handwritten characters is one of the most important issues in recognition application of patterns. The use of digital recognition includes postal planning, processing of bank checks, etc. The main problem is the ability to create an efficient algorithm that can detect handwritten numbers sent by users in the form of scanners, tabs, and other digital devices. This paper introduces a method in which offline handwritten digits are recognized based on different machine learning techniques. The main intention of this paper is to ensure constructive and authentic methods of recognizing handwritten digits.},
        keywords = {Machine Learning, Pattern Recognition, Handwritten Recognition, Digit Recognition},
        month = {},
        }