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Source code for fingerprint recognition, face recognition and much more


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Check the ranking of a web page in Google™. This is a search engine optimization tool. Google Ranking is an optimized routine to determine the exact ranking of your web page using Google. On the web there are similar routines (see http://www.googlerankings.com for example) but these algorithms can introduce errors and approximations. This web position tool is intended to determine your web site rankings in the major search engines. With Google Ranking, you can swiftly obtain information on the positions (rankings) your web site holds for the selected search queries. According to the latest reports, from 40% to 80% of targeted traffic come from search engines. Obviously, such source of visitors for your web site cannot be ignored. However, simply submitting a web site to search engines is not enough. If it doesn't appear on the first page of search results, the effect of it will be extremely low. The research on users' preferences has shown that 75% of visitors are satisfied with the first 10-15 search results. Only 20% view search results on the second page and less than 5% reach the third and further pages of search results. Thus, if your site rankings are not high and your site is not seen among the first ten search results, the effect from search engines will be extremely low.

Index Terms: Matlab, source, code, Google ranking, Google rankings, web positioning, search engines, search engine, Google search.

 

 

 

 

Figure 1. Google



A simple and effective source code to calculate the Google ranking of your web pages.

Download now free source code. This software is completely free.

Release
Date
Major features
3.0

2009.02.27

  • Updated Google URL formatting
  • Customizable code
2.0

2006.11.16

  • Updated Google URL formatting
  • Google domain selection
1.1

2006.05.24

  • Minor bug fixed
1.0

2005.10.08








This software is completely free. The authors have no relationship or partnership with The Mathworks. All the code provided is written in Matlab language (M-files and/or M-functions), with no dll or other protected parts of code (P-files or executables). The code was developed with Matlab 14 SP1. The code provided has to be considered "as is" and it is without any kind of warranty. The authors deny any kind of warranty concerning the code as well as any kind of responsibility for problems and damages which may be caused by the use of the code itself including all parts of the source code.

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New - Matlab To Arduino Interface
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 Java-based Biometric Authentication System Face recognition is essential in many applications, including mugshot matching, surveillance, access control and personal identification, and forensic and law enforcement applications.
 
New - Software References
 Papers and lectures A list of papers that included Advanced Source Code .Com in the references section. If you have written a paper where our software is cited in the references list please email us and your work will be published at our web site.
 
New - White Papers
 High Capacity Wavelet Watermarking Using CDMA Multilevel Codes This paper proposes a technique based on CDMA and multilevel coding in order to achieve a high capacity watermarking scheme. The bits of watermark are grouped together and for each sequence a different modulation coefficient is used.
 
New - WebCam Face Identification
 Face Recognition Based on Fractional Gaussian Derivatives Local photometric descriptors computed for interest regions have proven to be very successful in applications such as wide baseline matching, object recognition, texture recognition, image retrieval, robot localization, video data mining, building panoramas, and recognition of object categories.
 
New - Speaker Recognition System
 Source code for speaker recognition
Speaker recognition is the process of automatically recognizing who is speaking on the basis of individual information included in speech waves.
 
New - Speech Recognition System
 Source code for isolated words recognition
Speech recognition technology is used more and more for telephone applications like travel booking and information, financial account information, customer service call routing, and directory assistance. Using constrained grammar recognition, such applications can achieve remarkably high accuracy.
 



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