Air-Drawn Character Recognition Using Ai and Pattern Recognition Methodology

Registration ID: IJNRD_187622

Published ID: IJNRD2302182

DOI: Click Here to Get

Jibin Joy , Christina K O , Ashfiya A , Arundhathy K , Nithin S Nair

Handwritten Recognition (HWR), optical scanning (OCR), computer vision (CV), and pattern recognition (PR)

In pattern recognition applications, Handwritten Character Recognition is considered a central issue in a practical manner. Reading handwritten information like examination answer sheets is still difficult for many of us because each of us has a different interpretation style. As the world progresses towards digitization, converting handwritten information to a readable format reduces the complication. The proposed approach will be favourable for the readers as it gives a better understanding of the information. With the help of Machine Learning and Python, it is easier to recognize handwritten human characters and classify them correspondingly to a digital format. The handwritten patterns can be recognized and classified according to a digital format with human-level accuracy. The paper deals with predicting the real-time handwritten characters in the air. OpenCV python library is used for detecting the patterns, and the detected patterns are expected to have a human-level accuracy using a deep learning framework. DL has a massive set of pattern recognition tools which can apply to image processing, speech recognition, natural language processing, and has a remarkable capability to find out a solution for complex machine learning problems. The paper presents an innovative method for online handwritten character detection, and the objective is to ensure an effective and reliable approach to the recognition of handwritten characters.

Published Paper   E-Certificate

Jibin Joy, Christina K O, Ashfiya A, Arundhathy K, & Nithin S Nair (February-2023). Air-Drawn Character Recognition Using Ai and Pattern Recognition Methodology. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(2), b806-b812. https://ijnrd.org/papers/IJNRD2302182.pdf

Volume 8 Issue 2, February-2023

Pages : b806-b812

Paper Reg. ID: IJNRD_187622

Published Paper Id: IJNRD2302182

Downloads: 000121976

Research Area: Computer Science & Technology 

Country: Palakkad, Kerala, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2302182.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2302182

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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