Items where Author is "Chowdhury, Pinaki Nath"

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Number of items: 6.

Article

Palaiahnakote, Shivakumara and Chowdhury, Pinaki Nath and Pal, Umapada and Doermann, David and Ramachandra, Raghavendra and Lu, Tong and Blumenstein, Michael (2022) A knowledge enforcement network-based approach for classifying a photographer's images. International Journal of Pattern Recognition and Artificial Intelligence, 36 (15). ISSN 0218-0014, DOI https://doi.org/10.1142/S021800142250046X.

Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Nandanwar, Lokesh and Samiron, Faizal and Pal, Umapada and Lu, Tong (2022) Oil palm tree counting in drone images. Pattern Recognition Letters, 153. pp. 1-9. ISSN 0167-8655, DOI https://doi.org/10.1016/j.patrec.2021.11.016.

Karnik, Tapan and Shivakumara, Palaiahnakote and Chowdhury, Pinaki Nath and Pal, Umapada and Lu, Tong and Anuar, Nor Badrul (2022) A new deep model for family and non-family photo identification. Multimedia Tools and Applications, 81 (2). pp. 1765-1785. ISSN 1380-7501, DOI https://doi.org/10.1007/s11042-021-11631-3.

Chaudhuri, Abhra and Shivakumara, Palaiahnakote and Chowdhury, Pinaki Nath and Pal, Umapada and Lu, Tong and Lopresti, Daniel and Kumar, Govindaraj Hemantha (2021) A deep action-oriented video image classification system for text detection and recognition. SN Applied Sciences, 3 (11). ISSN 2523-3971, DOI https://doi.org/10.1007/s42452-021-04821-z.

Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Jalab, Hamid A. and Ibrahim, Rabha W. and Pal, Umapada and Lu, Tong (2020) A new Fractal Series Expansion based enhancement model for license plate recognition. Signal Processing: Image Communication, 89. ISSN 0923-5965, DOI https://doi.org/10.1016/j.image.2020.115958.

Chowdhury, Pinaki Nath and Shivakumara, Palaiahnakote and Pal, Umapada and Lu, Tong and Blumenstein, Michael (2020) A new augmentation-based method for text detection in night and day license plate images. Multimedia Tools and Applications, 79 (43-44). pp. 33303-33330. ISSN 13807501, DOI https://doi.org/10.1007/s11042-020-09681-0.

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