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google mobile vision ocr ios: Jul 16, 2018 · The project uses Swift 4.1 with base SDK in iOS 11. There are ... For reference, OCR stands for Optica ...



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tesseract- ocr · GitHub Topics · GitHub - AzureWebSites.net
Go package for OCR ( Optical Character Recognition ), by using Tesseract C++ library. go tesseract tesseract- ocr ... Updated 2 days ago; 35 commits; Objective - C  ...

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Although IDSs for enterprise environments have been studied extensively and several products/tools have been developed and are available today, these systems are not readily usable in a MANET environment In this section we will focus on discussing why existing IDSs are not appropriate for a MANET environment That discussion will also help us elucidate the unique characteristics that an IDS needs to have to operate in a MANET environment We will also discuss the potential intrusion detection approaches that may be effective in a MANET environment Defending MANET networks is much more challenging than defending traditional enterprise networks for a variety of reasons Characteristics such as volatility, mobility, as well as the ease of listening to wireless transmissions make the network nherently less secure Existing tools usually assume a well-structured and static network and therefore cannot be used as they are The nature of MANET networks makes it easier for malicious users to disrupt the network because by de nition MANETs are exible and lack a xed infrastructure It is possible for a malicious node to join the network and become responsible for providing key services This implies that, when securing the network we cannot assume that the threat is mostly from outside the network Therefore, the network needs to be protected from all nodes, both external and internal Another key difference between MANET and enterprise networks is that MANET networks do not have an established perimeter like traditional enterprise networks This plus the ability of nodes to move implies that there are no well-de ned chokepoints where the IDS systems can be placed to monitor the traf c This lack of chokepoints implies that nodes may only be able to observe a small portion of the network traf c and many attacks might escape detection by a single IDS Therefore, a much more cooperative approach to intrusion detection is necessary In this approach, multiple nodes have to work together to detect attacks Nodes monitor traf c around them and then exchange information with other nodes Nodes then use the exchanged information to detect attacks that cannot be detected by local information As a result more attacks can be detected MANET networks also introduce a large number of complex protocols New protocols for performing important functions such as routing, automated con guration, and mobility management, have been introduced These protocols create new opportunities for malicious users to identify protocol vulnerabilities and use them for launching attacks New techniques for detecting attacks exploiting the behavior of these protocols are needed MANET protocols by their nature depend on nodes cooperating with each other in performing the functions of the network One such critical function is routing In static enterprise networks, routers are usually speci c dedicated nodes Routers are usually also located in well-protected areas In a MANET, every node can be a router and therefore it is possible for a single malicious node to cause signi cant disruption in the operation of the network For example, node A may begin advertising that it has direct connectivity to a large number of nodes This may result in node A receiving a large number of packets which it can then inspect, drop, or loop around Such attacks against.



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Tesseract OCR Tutorial for iOS | raywenderlich.com
20 May 2019 ... In this tutorial, you'll learn how to read and manipulate text extracted from images using OCR by Tesseract .

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Text Detection From Firebase MLKit: You can find demo code for Image to Text conversion using Firebase MLKit in iOS.

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Vision in iOS : Text detection and Tesseract recognition - Medium
22 Jun 2018 ... Vision in iOS : Text detection and Tesseract recognition .... Tesseract OCR Tutorial for iOS : Learn how to use Tesseract framework in iOS , ...

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Text Recognition in Vision Framework - WWDC 2019 - Videos ...
Document Camera and Text Recognition features in Vision Framework enable you to extract text data from images. Learn how to leverage this...

Barcode Printer In Visual C# Using Barcode printer for VS . it should be returned to the requesting Web client. .Listing many files as the index may create two problems First, the server will now have to check for the existence of many files per directory request; this could make it slower han usual Second, having multiple files as indexes could make your site difficult to manage from the organizational point of view If your Web site content developers use various systems to create files, however, it might be a practical solution to keep both indexhtml and indexhtm as index files For example, an older Windows machine is unable to create filenames with extensions longer than three characters, so a user working on such a machine may need to manually update all of the user s indexhtm files on the Web server Using the recommended index filenames eliminates this hassle.Related: 

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Jun 15, 2019 · In iOS 13, Apple's Vision framework also adds support for OCR (Optical Character Recognition), which allows you to detect and recognize text ...

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To set up a Firebase account, follow the account setup section in this Getting Started With Firebase Tutorial. Creating a Text Detector · Understanding the Classes · Detecting Frames · Drawing

number of neighbors is justi ed or not in a node s routing advertisement For example, if we know that a node is really isolated and far away from most other nodes, then the node is de nitely malicious if the number of neighbors it advertises signi cantly exceeds the expected number of neighbors Speed the actual speed of nodes might help in determining if the number of routing updates is justi ed or not For example, increased rate of routing updates can be justi ed if we know that nodes are moving very fast at the time In such cases a larger threshold value may be used by the anomaly detection schemes Relative Movements If we know the relative movements of nodes, we may be able again to make much better etection decisions For example, if nodes are moving together and their relative position is not changing then we would not expect large numbers of routing updates Therefore a much lower threshold may be used to detect an attacker.

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Several researchers have proposed a variety of techniques for detecting routing attacks using anomaly detection For example, Zhang and Lee [104, 105] have discussed the use of anomaly detection for detecting attacks against AODV, dynamic source routing (DSR), and destination-sequenced distance-vector routing (DSDV) and have presented experimental results for the effectiveness of the techniques discussed there The big advantage of anomaly-based detection is its simplicity The various values need to be calculated and compared with the pre-determined thresholds The big disadvantage is that this technique can only be used for detecting a subset of routing attacks It is not possible to create appropriate metrics, especially for subtle attacks where a single node is the target of the attack The other disadvantage of this technique as discussed earlier is the potential generation of false positives 5623 Misuse Detection Vigna et al [5] describe some examples of potential misuse detection schemes for AODV One potential attack described there is when a node drops AODV RREQ messages or RREP messages This type of attack signi cantly disrupts network connectivity by making it more dif cult to propagate route information The detection scheme proposed is based on detectors that monitor the behavior of neighboring nodes If neighbors do not propagate the routing messages as expected within the expected timeout then an attack is inferred Several other attacks that can be detected using this technique are also described there 5624 Speci cation-Based Detection The speci cation-based intrusion detection technique is usually based on building nite state machines that re ect the expected behavior of a node as discussed earlier Tseng et al [4] propose a nite state machine for detecting attacks against AODV using such an approach For example, whenever a node receives a new RREQ it either forwards the RREQ message if it does not know the path to the destination or generates a RREP message If the node does not do either then it is possibly malicious Also, if it generates incorrect RREP message advertising incorrect paths, then that is also is an indication of malicious behavior In order to detect such behavior the detector needs to maintain up-to-date information on the current view of available paths that the monitored node is aware of The previous discussion illustrates the challenges associated with the speci cationbased intrusion detection technique A detector eeds to monitor a node very closely.

13, EAN/UCC-13 A European Article Number (EAN) is a . It is also known as European Article Number 13, EAN-13 Supplement 5/Five-digit Add-On, EAN-13 Supplement 2/Two-digit Add-On, EAN-13+5, EAN-13+2, EAN13, EAN13+5, EAN13+2, UPC-13, GTIN-13, GS1-13, EAN/UCC-13 A European Article Number (EAN) is a barcoding standard which is a superset of the original 12-digit Universal Product Code (UPC) system eveloped in North America. The EAN-13 barcode is defined by the standards organisation GS1. It is also called a Japanese Article Number (JAN) in Japan. UPC, EAN, and JAN numbers are collectively called Global Trade Item Numbers (GTIN), though they can be expressed in different types of barcodes. .Related: Print Barcode Crystal Library, Create Barcode Word how to, Barcode Generator .NET Winforms

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NET Control to generate, create, read, scan barcode image in NET framework applications For instance, obtaining link-layer feedback, say with regard to congestion conditions, at the source node is of limited use because information would only e forthcoming concerning the node itself and not the routing path (which would typically be of more interest) The Active Delay Control technique (described in Section 1042) is indicative of end-to-end versus point-to-point tradeoffs; the idea of imposing an arti cial delay on packet transmission to avoid RTOs is implemented on the one hand by altering end-to-end agents only (in the cases of 1-bit RDC and SDC) and on the other by point-to-point changes (in the case of Exact RDC) The point-to-point approaches outlined in this chapter primarily involve changescoupling with some network layer (IP) mechanism For instance, the DATA/ACKbundling approach suggested in Section 104.

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3 and the COPAS method in Section 1043 require processing of TCP segments at intermediate nodes, which implies functionality not normally implemented on the Internet; this fact precludes the use of these techniques in a mixed setting where legacy nodes might be present The Split TCP approach in Section 1043 involves the creation of TCP proxies along the communications path which breaks the end-to-end paradigm of TCP, but requires only a simple modi cation at each node in the path Although incremental adoption of this technique is not taken into account in the original proposal, it is likely that the scheme could be adapted to set the inter-proxy distance in such a way as to establish proxies only at nodes (if any) that implement Split TCP Finally, the last scheme discussed, which de nes an optimization in the default 802.

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Jun 25, 2015 · The OCR library itself supports only image formats as input and is "innocent" ..... Really happy with the results for my iOS app (universal app) ... comments there is much space for improvement on open source OCR libraries, ...

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In your case you will need tesseract-ocr-3.02.eng.tar.gz as you are looking for ... processing:https://github.com/mstrchrstphr/OCR-iOS-Example.












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