Oriented Basic Image Features Column for isolated handwritten digit

2017 ◽  
Author(s):  
Abdeljalil Gattal ◽  
Chawki Djeddi ◽  
Youcef Chibani ◽  
Imran Siddiqi
Keyword(s):  
Image Features ◽  
Handwritten Digit ◽  
Basic Image

Gender classification from offline multi-script handwriting images using oriented Basic Image Features (oBIFs)

2018 ◽  
Vol 99 ◽  
pp. 155-167 ◽  
Author(s):  
Abdeljalil Gattal ◽  
Chawki Djeddi ◽  
Imran Siddiqi ◽  
Youcef Chibani
Keyword(s):  
Image Features ◽  
Gender Classification ◽  
Basic Image

scholarly journals A Journey from basic Image Features to Lofty Human Intelligence in Content-based Image Retrieval: Motivation, Applications and Future Trends

2020 ◽  
Vol 9 (2) ◽  
pp. 990-998
Keyword(s):  
Image Retrieval ◽  
Spatial Information ◽  
Similarity Measures ◽  
Human Perception ◽  
Image Features ◽  
Content Based Image Retrieval ◽  
Future Trends ◽  
Research Issues ◽  
Basic Image ◽  
High Level

Due to a remarkable increase in the complexity of the multimedia content, there is a cumulative enhancement of digital images both online and offline. For the purpose of retrieving images from a vast storehouse of images, there is an urgent requirement of an effectual image retrieval system and the most effective system in this domain is denoted as content-based image retrieval (CBIR) system. CBIR system is generally based on the extraction of basic image attributes like texture, color, shape, spatial information, etc. from an image. But, there exists a semantic gap between the basic image features and high-level human perception and to reduce this gap various techniques can be used. This paper presents a detailed study about the various basic techniques with an emphasis on different intelligent techniques like, the usage of machine learning, deep learning, relevance feedback, etc., which can be used to achieve a high level semantic information in CBIR systems. In addition, a detailed outline regarding the framework of a basic CBIR system, various benchmark datasets, similarity measures, evaluation metrics have been also discussed. Finally, solution to some research issues and future trends have also been given in this paper.

Writer identification using oriented Basic Image Features and the Delta encoding

2014 ◽  
Vol 47 (6) ◽  
pp. 2255-2265 ◽  
Author(s):  
Andrew J. Newell ◽  
Lewis D. Griffin
Keyword(s):  
Image Features ◽  
Writer Identification ◽  
Basic Image
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