The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Using Neural Natural Network for Image Recognition in Bioinformatics
Abstract
Automatic image recognition is very useful in bioinformatics. This article presents a novel technique to recognize the characters in the number plate automatically by using connected component analysis (CCA), artificial neural network (ANN) and neural natural network (Triple N). The preprocessing steps, Sobel edge detection technique and CCA are applied to the captured image of the vehicle to obtain character images. ANN technique can be used over these images to recognize the characters of the image in bioinformatics. The preprocessing steps are used to remove the noise and to enhance the image for recognizing the characters effectively. After performing the preprocessing steps, the edge detection technique and CCA are carried out to separate the character images from the whole image which can be recognized using ANN. These text characters can be compared with database to find authentication of vehicle, identifying the owner of the vehicle, penalty bill generation, etc.
Related Content
Sarika Choudhary, Monika Jyotiyana, Krishna Kumar Sharma.
© 2025.
22 pages.
|
Krithikaa Venket, Anju Ambika, Adline R. Freeda.
© 2025.
24 pages.
|
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Varunendra nath Dwivedi.
© 2025.
22 pages.
|
Pritish Sinha, Khushi, Arvind Dagur.
© 2025.
22 pages.
|
Ruchi Patel, Ashok Kumar Verma, Neelesh Kumar Sahu, Preeti Rai.
© 2025.
36 pages.
|
Leena Jenefa, Dr.Karuppasamy Ramanathan, Namita Mishra, Vishnu Vishnu, M. Jayakumar, S. Ashok.
© 2025.
22 pages.
|
Raman Ghuman, V. Aravindan, Rajkanwar Singh, P. Anirudh.
© 2025.
18 pages.
|
|
|