International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 03 | Mar -2017
p-ISSN: 2395-0072
www.irjet.net
SEARCH ENGINE BASED ON IMAGE AND NAME FOR CAMPUS Harshita Bavise1,Kavita Kaithwas2,Neha Nagpure3 Assistant Prof. Mitali Ingle4 123UG
Student, B.E., Computer Science and Engineering,DBACER,Nagpur,maharashtra,India professor, B.E., Computer Science and Engineering,DBACER,Nagpur,maharashtra,India.
4Assistant
---------------------------------------------------------------------***--------------------------------------------------------------------2. PROPOSED WORK Abstract - Criminal record generally contains personal information about particular person along with photograph. To identify any criminal we need some identification regarding person, which are given by eyewitnesses. In most cases the quality and resolution of the recorded imagesegments is poor and hard to identify a face. To overcome this sort of problem we are developing software. A web search engine is a software system that is designed to search for information on the World Wide academia, and hospitals, large collections of digital images are being created. Image retrieval methods based on colour,texture, shape and semantic image are discussed, analyzed and compared. Web In the Existing search engines the accuracy of retrieving the document using the image is low. It is inefficient in the retrieval of documents. The aim of the image search is to retrieve the relevant image with respect to user query from a large image database.
2.1MODULES Module1: Database collection and create login, registration form: In our first module we have to collect database in that we have to collect image of person and details of person like name, male ID, marks of students etc. Module2: Face detection from image: Face detection from image is our second module, in that module we have give one image as an input and check that image having face or not.
Key Words: Retrieve information from database, face detection.
Module 3: Query processor for information retrieval: In that module we have to take image, name and email Id as an input and match with our database. If match is true then data is retrieve from the database.
1.INTRODUCTION A web search engine is a software system that is designed to search for information on the World Wide Web. In the Existing search engines the accuracy of retrieving the document using the image is low. It is inefficient in the retrieval of documents. The aim of the image search is to retrieve the relevant image with respect to user query from a large image database. Image retrieval methods based on colour, texture, shape and semantic image are discussed, analysed and compared. Feature detection is the process where we automatically examine an image to extract features that are unique to the objects in the image, in such a manner that we are able to detect an object based on its features in different images. In this project, the system will retrieve the relevant image with respect to user query from a large image and information database. Here the user will enter image and text as a input and according to that the system will provide the related output. The system will detect the face from the input image and provide an option to enter the text and it will provide us the accurate output. Š 2017, IRJET
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Impact Factor value: 5.181
3. LITERATURE REVIEW 1. Learning Query-Specific Distance Functions for Large-Scale Web Image Search: This work studies the problem of learning distance functions to be used in a hybrid image retrieval systems such as the one used by Google image search in August 23, 2013. 2. Fine-Grained Image Search: The index is verified efficient at retrieving near-duplicate images, but it is less capable of discovering fine-grained concepts in the query and returning semantically matched search results in 2008. 3. SURF: Feature detection & description: Feature detection is the process where we automatically examine an image to extract features that are unique to the objects in the image, in such a manner that we are |
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