Automatic Handwriting Feature Extraction, Analysis and Visualization in the Context of Digital Palaeography

Liang, Yiqing; Fairhurst, Michael; Guest, Richard; Erbilek, Meryem

doi:10.1142/s0218001416530013

Cited by 10 publications

(2 citation statements)

References 25 publications

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“…e purpose is to build a multilayer distributed architecture including user terminals based on the Internet to realize remote control and management of branch servers. With the continuous deepening of the "Internet +" strategy, remote control has been widely used due to its advantages of efficient management and fast response [33].…”

Section: Digital Visualization Remote Controlmentioning

confidence: 99%

Hainan Port Logistics Supply Chain and Its Flexible Operation Mechanism considering Digital Visual Remote Control

Li¹,

Ren²,

Li³

2022

Mobile Information Systems

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Data visualization is in a process of constant change, the edge is constantly expanding, and information can be conveyed with the help of graphic technology. This article aims to study the Hainan port logistics supply chain and its flexible operation mechanism of digital visualization remote control and hopes that through the blessing of remote control technology, the port’s ability to deal with the external environment will be improved. Based on the theory of logistics service availability of supply line flexibility, this paper constructs the evaluation of Hainan port logistics service supply chain flexibility; logistics flexibility refers to the ability of an enterprise to respond quickly and effectively to changes in customer demand for transportation, delivery, and services. Logistics flexibility includes four important elements: logistics supply flexibility, procurement flexibility, distribution flexibility, and demand management flexibility. Using the concept of two-level planning to build a port collection and distribution network optimization model in the supply chain environment and analyze related examples to find the best route for port transportation, the attributes related to port flexibility are selected from the perspectives of strategic flexibility, system flexibility, service provider flexibility, and organizational flexibility. The test outcomes of this document show the radiation capacity of Haikou port is relatively strong, the proportion of people who think it is excellent is 60%, and the proportion of people who think that the radiation ability of Haikou Port is good is 20%. Haikou Port has a good resource utilization capacity; 70% think its resource utilization rate is good, and 20% think its resource utilization is very good. Haikou Port’s response capability is relatively average compared to Kia’s capability, and even 10% of people think that Haikou Port’s response capability is very average, so Haikou Port needs to strengthen training for port response capabilities. According to the operating flexibility data, the informatization development of Haikou Port is showing a good level.

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Section: Digital Visualization Remote Controlmentioning

confidence: 99%

Hainan Port Logistics Supply Chain and Its Flexible Operation Mechanism considering Digital Visual Remote Control

Li¹,

Ren²,

Li³

2022

Mobile Information Systems

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“…In [ 10 ] the authors underline the limit of local approaches, and suggest the use of allograph and texture features. Following this line of thought, several approaches have been proposed for both writer identification [ 11 , 12 ] and document dating [ 7 , 13 ]. Moreover, in [ 11 ], the authors adopt texture-based features for the identification of the writers of the dead sea scrolls.…”

Section: Related Workmentioning

confidence: 99%

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents

et al. 2020

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In the framework of palaeography, the availability of both effective image analysis algorithms, and high-quality digital images has favored the development of new applications for the study of ancient manuscripts and has provided new tools for decision-making support systems. The quality of the results provided by such applications, however, is strongly influenced by the selection of effective features, which should be able to capture the distinctive aspects to which the paleography expert is interested in. This process is very difficult to generalize due to the enormous variability in the type of ancient documents, produced in different historical periods with different languages and styles. The effect is that it is very difficult to define standard techniques that are general enough to be effectively used in any case, and this is the reason why ad-hoc systems, generally designed according to paleographers’ suggestions, have been designed for the analysis of ancient manuscripts. In recent years, there has been a growing scientific interest in the use of techniques based on deep learning (DL) for the automatic processing of ancient documents. This interest is not only due to their capability of designing high-performance pattern recognition systems, but also to their ability of automatically extracting features from raw data, without using any a priori knowledge. Moving from these considerations, the aim of this study is to verify if DL-based approaches may actually represent a general methodology for automatically designing machine learning systems for palaeography applications. To this purpose, we compared the performance of a DL-based approach with that of a “classical” machine learning one, in a particularly unfavorable case for DL, namely that of highly standardized schools. The rationale of this choice is to compare the obtainable results even when context information is present and discriminating: this information is ignored by DL approaches, while it is used by machine learning methods, making the comparison more significant. The experimental results refer to the use of a large sets of digital images extracted from an entire 12th-century Bibles, the “Avila Bible”. This manuscript, produced by several scribes who worked in different periods and in different places, represents a severe test bed to evaluate the efficiency of scribe identification systems.

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Deep bidirectional long short-term memory for online multilingual writer identification based on an extended Beta-elliptic model and fuzzy elementary perceptual codes

Dhieb

Boubaker

Ouarda

et al. 2021

Multimed Tools Appl

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Automatic Handwriting Feature Extraction, Analysis and Visualization in the Context of Digital Palaeography

Cited by 10 publications

References 25 publications

Hainan Port Logistics Supply Chain and Its Flexible Operation Mechanism considering Digital Visual Remote Control

Hainan Port Logistics Supply Chain and Its Flexible Operation Mechanism considering Digital Visual Remote Control

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents

Deep bidirectional long short-term memory for online multilingual writer identification based on an extended Beta-elliptic model and fuzzy elementary perceptual codes

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