An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Comprehensive taxonomies of nature-and bio-inspired optimization: Inspiration versus algorithmic behavior, critical analysis recommendations
In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …
order to efficiently address complex optimization problems. In the last years the number of …
Ancient text recognition: a review
Optical character recognition (OCR) is an important research area in the field of pattern
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
recognition. A lot of research has been done on OCR in the last 60 years. There is a large …
[PDF][PDF] A detailed analysis of optical character recognition technology
In many different fields, there is a high demand for storing information to a computer storage
disk from the data available in printed or handwritten documents or images to later re-utilize …
disk from the data available in printed or handwritten documents or images to later re-utilize …
Text line and word segmentation of handwritten documents
In this paper, we present a segmentation methodology of handwritten documents in their
distinct entities, namely, text lines and words. Text line segmentation is achieved by applying …
distinct entities, namely, text lines and words. Text line segmentation is achieved by applying …
A set of benchmarks for handwritten text recognition on historical documents
Abstract Handwritten Text Recognition is a important requirement in order to make visible
the contents of the myriads of historical documents residing in public and private archives …
the contents of the myriads of historical documents residing in public and private archives …
Handwritten Chinese text line segmentation by clustering with distance metric learning
Separating text lines in unconstrained handwritten documents remains a challenge because
the handwritten text lines are often un-uniformly skewed and curved, and the space between …
the handwritten text lines are often un-uniformly skewed and curved, and the space between …
CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image
In this paper, we have described the preparation of a benchmark database for research on
off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text …
off-line Optical Character Recognition (OCR) of document images of handwritten Bangla text …
Importance and challenges of handwriting recognition with the implementation of machine learning techniques: a survey
Ancient manuscripts store historical, literary, cultural, and geographical information.
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
Therefore, the automatic analysis of manuscripts is of great interest in heritage culture and …
Text line detection in handwritten documents
In this paper, we present a new text line detection method for handwritten documents. The
proposed technique is based on a strategy that consists of three distinct steps. The first step …
proposed technique is based on a strategy that consists of three distinct steps. The first step …