Object Detection and recognition is an
important task in image processing and computer vision. It
is concerned with determining the identity of an object
being observed in an image .Humans can recognize any
object in the real world easily without any efforts. But
computerize recognition of object in image is not easy task.
In such system some problems are occurred such as
lightning, mirroring, rotating. It also used Sketch based
system for object detection in which user can draw the
images by hand and then matches the images from the
database. The system developed has many types of
applications in the field of Medical Diagnose, Cartography,
and Robotics.
The Object Detection and Recognition system in Images
is web based application which mainly aims to detect the
multiple objects from various types of images. To
achieve this goal shape and edge feature from image is
extracted. It uses large image database for correct object
detection and recognition. This system will provide easy
user interface to retrieve the desired images. The system
have additional feature such as Sketch based detection.
In Sketch detection user can draw the sketch by hand as
an input. Finally the system results output images by
searching those images that user want.
[1] Reetu Awasthi, “Techniques for Object
Recognition in Images and Multi-Object Detection”.
International Journal of Advanced Research in
Computer Engineering & Technology (IJARCET),
Volume 2, Issue 4, April 2013.
[2] Dilip k. Prasad,” Survey of the Problem of Object
Detection in Real Images”, International Journal of
Image Processing (IJIP), Volume (6): Issue (6), 2012
[3] Syeed Irfanullah, “Canny Edge Detection”, March
23,2009
[4] Byung hui jeiong, “ Navies Similarity algorithm” ,
ijseia,vol (9),2015.