Optical Digit Recognition for Images of Handwritten Historical Documents

2006 ◽  
Author(s):  
A.L.I. Oliveira ◽  
C.A.B. Mello ◽  
E.R. Jr ◽  
V.m.o.alves Alves
Keyword(s):  
Historical Documents ◽  
Digit Recognition

scholarly journals Automatic CNN-Based Arabic Numeral Spotting and Handwritten Digit Recognition by Using Deep Transfer Learning in Ottoman Population Registers

2020 ◽  
Vol 10 (16) ◽  
pp. 5430 ◽  
Author(s):  
Yekta Said Can ◽  
M. Erdem Kabadayı
Keyword(s):  
Transfer Learning ◽  
High Performance ◽  
Arabic Numeral ◽  
Color Filter ◽  
Historical Documents ◽  
Historical Inquiry ◽  
Page Segmentation ◽  
Digit Recognition ◽  
Handwritten Text Recognition ◽  
Handwritten Digit

Historical manuscripts and archival documentation are handwritten texts which are the backbone sources for historical inquiry. Recent developments in the digital humanities field and the need for extracting information from the historical documents have fastened the digitization processes. Cutting edge machine learning methods are applied to extract meaning from these documents. Page segmentation (layout analysis), keyword, number and symbol spotting, handwritten text recognition algorithms are tested on historical documents. For most of the languages, these techniques are widely studied and high performance techniques are developed. However, the properties of Arabic scripts (i.e., diacritics, varying script styles, diacritics, and ligatures) create additional problems for these algorithms and, therefore, the number of research is limited. In this research, we first automatically spotted the Arabic numerals from the very first series of population registers of the Ottoman Empire conducted in the mid-nineteenth century and recognized these numbers. They are important because they held information about the number of households, registered individuals and ages of individuals. We applied a red color filter to separate numerals from the document by taking advantage of the structure of the studied registers (numerals are written in red). We first used a CNN-based segmentation method for spotting these numerals. In the second part, we annotated a local Arabic handwritten digit dataset from the spotted numerals by selecting uni-digit ones and tested the Deep Transfer Learning method from large open Arabic handwritten digit datasets for digit recognition. We achieved promising results for recognizing digits in these historical documents.

Having Their Say, Leaving Their Mark

2020 ◽  
Vol 1 (1) ◽  
pp. 141-153
Author(s):  
Adolphus G. Belk ◽  
Robert C. Smith ◽  
Sherri L. Wallace
Keyword(s):  
United States ◽  
Civic Engagement ◽  
Political Science ◽  
Black People ◽  
The United States ◽  
The Political ◽  
Historical Documents ◽  
Adverse Conditions ◽  
The 1960S ◽  
Independent Organization

In general, the founders of the National Conference of Black Political Scientists were “movement people.” Powerful agents of socialization such as the uprisings of the 1960s molded them into scholars with tremendous resolve to tackle systemic inequalities in the political science discipline. In forming NCOBPS as an independent organization, many sought to develop a Black perspective in political science to push the boundaries of knowledge and to use that scholarship to ameliorate the adverse conditions confronting Black people in the United States and around the globe. This paper utilizes historical documents, speeches, interviews, and other scholarly works to detail the lasting contributions of the founders and Black political scientists to the discipline, paying particular attention to their scholarship, teaching, mentoring, and civic engagement. It finds that while political science is much improved as a result of their efforts, there is still work to do if their goals are to be achieved.

Postscript

2015 ◽  
Vol 1 (1) ◽  
pp. 127-132
Author(s):  
Stephen Hugh-Jones
Keyword(s):  
New York ◽  
Recurrent Events ◽  
Historical Documents ◽  
York Academy ◽  
American Museum ◽  
International Conference ◽  
Interdisciplinary Field ◽  
American Tropics ◽  
Academy Of Sciences

The previous paper was first published in 1982, when ethnoastronomy was still in its infancy. It appeared in Ethnoastronomy and Archaeoastronomy in the American Tropics, Tony Aveni and Gary Urton’s edited proceedings of an international conference held at the American Museum of Natural History’s Hayden Planetarium in New York under the auspices of the New York Academy of Sciences. Aveni and Urton were true pioneers who opened up a new interdisciplinary field of research that brought together astronomers, anthropologists, archaeologists, historians and others, all interested in astronomical knowledge amongst contemporary indigenous societies, in how buildings, settlements and archaeological monuments were aligned with recurrent events in the sky, and in how such alignments matched up with astronomical information contained in ancient codices and other historical documents and in contemporary ethnographic accounts.

DIGIT RECOGNITION USING TENSORFLOW TOOL

2017 ◽  
Vol 4 (3) ◽  
pp. 27
Author(s):  
RAJESH K.V.N. ◽  
RAMESH K.V.N ◽  
HYMAVATHI M ◽  
REDDY K. SYAM SUNDAR ◽  
◽  
...  
Keyword(s):  
Digit Recognition

Corruption and the fight against it in historical retrospect

2020 ◽  
Vol 2020 (10-4) ◽  
pp. 236-244
Author(s):  
Petr Ivanov ◽  
Artyom Shitov
Keyword(s):  
Historical Documents ◽  
Russian State ◽  
Historical Retrospect ◽  
The Difference

The authors consider the concept of corruption in each stage of the formation of the Russian state. A special attention is paid to the difference between bribery and corruption. On the base of historical documents the origins of corruption and the mechanism for fighting it are disclosed.

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