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AEJAZ GANAI

First Name
AEJAZ
Last Name
GANAI
Affiliation
NATIONAL INSTITUTE OF TECHNOLOGY SRINAGAR
Job Title
LECTURER
Expertise
MACHINE LEARNING, PATTERN RECOGNITION
External links
Aejaz Farooq
Short Bio
Aejaz Farooq Ganai holds a Bachelor of Engineering (B.E.) in Computer Engineering, Master of Technology (M.Tech.) in Computer Engineering, Ph.D. in Pattern Recognition (Department of Electronics and Communication Engineering) from National Institute of Technology Srinagar, India. His research areas of interest include Image Processing, Pattern Recognition, Artificial Intelligence, and Machine Learning. He has published his research in high impact SCI/SCIE indexed Journals, peer-reviewed Scopus journals, and presented work at many national and International conferences. He is working as a Lecturer in the Department of Technical Education, Jammu and Kashmir Government, India. He can be contacted at email: aejaz_07phd17@nitsri.ac.in

Dataset Entries from this Author

Urdu Handwritten Ligature Dataset

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Urdu Handwritten Ligature Dataset (UHLD) is the first unconstrained handwritten Urdu dataset developed for various handwritten Urdu recognition tasks and OCR research problems. The UHLD is written independently of paper color, paper type (blank or ruled), ink color, and pen type. The UHLD consists of around six thousand handwritten Urdu text lines written by 200 different writers. The UHLD dataset covers six and seven-character ligatures whereas it was only up to five character ligatures in previous dataset such as UNHD.

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