Learning‐free handwritten word spotting method for historical handwritten documents
Abstract Word spotting on degraded and noisy historical documents can become a challenging task considering the computational time and memory usage required to scan the entire document image. This paper proposes a new effective technique for multi‐language word spotting using a two different feature...
Main Authors: | Hanadi Hassen Mohammed, Nandhini Subramanian, Somaya Al‐Madeed |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-08-01
|
Series: | IET Image Processing |
Online Access: | https://doi.org/10.1049/ipr2.12216 |
Similar Items
-
Contextual Word Spotting in Historical Handwritten Documents
by: David Fernández
Published: (2015-12-01) -
Segmentation-free Word Spotting for Handwritten Arabic Documents
by: Ghizlane Khaissidi, et al.
Published: (2016-09-01) -
Learning-Free Text Line Segmentation for Historical Handwritten Documents
by: Berat Kurar Barakat, et al.
Published: (2020-11-01) -
Arbitrary Keyword Spotting in Handwritten Documents
by: Haji, Mehdi
Published: (2012) -
Recognition of off-line handwritten Arabic words
by: Al-Ma'adeed, Somaya A. S.
Published: (2004)