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If you have plenty of time but zero budget - your choice is Tesseract. It is definetely the best among open source. If you have small budget to spend and you only need run this recognition once - Cloud OCR API service would be your best choice.

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(D-Rank) Both A-Rank and D-Rank methods do not always lead to optimal solutions because they ignore tax considerations in IT projects, but these methods do provide exibility to solve the ITCB problem without a clear de nition of an objective function Given restrictions posed by ranking methods, and dif culty in using integer programming odels, we nd that heuristic approaches are best suited for solving the ITCB problem The heuristic approaches provide us with the exibility to model the objective function appropriately, de ne accounting rules, and nd the solution to the ITCB problem in polynomial time Therefore we developed two simulated annealing (SA) procedures for solving the ITCB problem Our rst SA procedure utilizes a feasibility restoration component In our second procedure, we eliminate the feasibility restoration step from the rst SA procedure The feasibility restoration always maintains a feasible solution In the event when a solution is not feasible, failure occurs in our second SA procedure and annealing schedule is omitted We call our rst SA procedure the feasibility restoring SA (FRSA) procedure, and the second procedure the simple SA (SSA) procedure We use an object-oriented programming language C to build a simulation model for generating a real-world set of IT projects, revenues, and IT budgets The probability density functions for revenues, IT budget, and individual project types were developed using the data from an Information Week survey of Compustat s top 500 rms The descriptive statistics for revenues and IT budgets are summarized in Table 25 Table 26 illustrates the descriptive statistics for the natural log-transformed variables The correlation between log transformed revenue and IT budget variables was 0722 The simulation model used base e antilogarithm exponent transformation of Revenue and IT Budget variables to compute the actual values of revenues and IT budget for analysis Individual hardware, personnel, software, and other category projects were generated with normal distributions with means of $456 million, $709 million, $1182 million, and $405 million, respectively The standard deviations of 10% were considered for each of the categories.

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receives the RREP packet will try to open the onion Only the proper node (which is the previous hop during the RREQ phase) can correctly open the onion using the key K The opening of the onion is also shown in Figure 424 Such a node (which can open the onion) then selects another random route pseudonym N0 , peels off a layer of the onion, replaces N with N0 and then locally broadcasts the RREP packet This node also stores the mapping between N and N0 in its forwarding table These actions will be repeated by all nodes until the source receives the RREP packet The source then veri es the proof of global trapdoor opening, and if this is found correct then the source is sure of communicating with the intended destination We would like to remark here that the destination can initiate the same RREP procedure to realize multiple anonymous paths between itself and the source At this point, an anonymous route making use of locally unique pseudonyms is set up between the source and the destination This route can then be used to forward data packets The source uses the outgoing route pseudonym to encapsulate the data packet, which is then broadcast locally This way neither the sender nor the local receiver can be identi ed Each local receiving node will have to look up the route pseudonym in their forwarding tables The packet is dropped by a node if no match is found If a match is found in the forwarding tables of a node, it changes the route pseudonym in the packet to the matching route pseudonym and rebroadcasts the packet This procedure is repeated until the packet arrives at the destination We show this in Figure 425 We see from this gure that the nodes that are not on the data forwarding path drop the received packet The nodes that are on the data forwarding path translate the pseudonyms and forward the packet An anonymous route maintenance procedure based on the se of route pseudonyms is also speci ed in ANODR ANODR is robust against node intrusion No node identity is revealed nor does it have a single point of failure Of course, ANODR has a strong assumption that each source shares a pairwise secret with each potential destination that is used in the trapdoor construction In addition, ANODR requires that every intermediate node try to open the trapdoor in the RREQ to see if it is the intended destination An intermediate node also needs to try to decrypt the RREP packet to determine if it is the correct forwarder This implies that the route discovery process in ANODR is computationally expensive ANODR is also sensitive to node mobility Finally, note that ANODR allows only the destination to initiate.

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How to use the Tesseract API (to perform OCR ) in your java code | T ...
18 Jan 2014 ... Hi there,. I have been working on a small app recently which reads an image and converts it into text using optical character recognition .

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