Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Supriya Mahadevkar"'
Publikováno v:
MethodsX, Vol 12, Iss , Pp 102654- (2024)
Handwritten text recognition (HTR) within computer vision and image processing stands as a prominent and challenging research domain, holding significant implications for diverse applications. Among these, it finds usefulness in reading bank checks,
Externí odkaz:
https://doaj.org/article/ee45bd84390943dd8a49061fc2df68e6
Publikováno v:
PeerJ Computer Science, Vol 10, p e1769 (2024)
Object detection methods based on deep learning have been used in a variety of sectors including banking, healthcare, e-governance, and academia. In recent years, there has been a lot of attention paid to research endeavors made towards text detectio
Externí odkaz:
https://doaj.org/article/3d03bd77559a4d29904ea9b58880adb9
Autor:
Shruti Patil, Vijayakumar Varadarajan, Supriya Mahadevkar, Rohan Athawade, Lakhan Maheshwari, Shrushti Kumbhare, Yash Garg, Deepak Dharrao, Pooja Kamat, Ketan Kotecha
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 11, Iss 4, p 63 (2022)
Optical Character Recognition has made large strides in the field of recognizing printed and properly formatted text. However, the effort attributed to developing systems that are able to reliably apply OCR to both printed as well as handwritten text
Externí odkaz:
https://doaj.org/article/635c652fe2f24e0db22e4248eb234ecc