Harris Operator Corner Detection using Sliding Window Method

نویسندگان

  • Jyoti Malik
  • Ratna Dahiya
  • G. Sainarayanan
چکیده

In this paper, Harris Corner Detector is proposed as a corner detection technique to extract palmprint features in the form of corners. Here, hamming distance similarity measurement using sliding window method is used as a feature matching method for the corners detected. The aim of using hamming distance method for corner matching is the non-dependency of the method with the number of corners detected. So, the comparison (matching) time will be constant with hamming distance feature matching method. We used the same feature matching technique in edge detection and got good results. In this paper, palmprint features are analyzed on different sigma, threshold and radius values. Experiments were developed on a database of 600 images from 100 individuals, with five image samples per individual for training and one image sample per individual for testing. The experimental results indicate that using Harris corner detector and Hamming distance using sliding window, recognition rate of 97.5% can be achieved.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sliding Window Based Fast Corner Matching Palmprint Authentication

Authentication time is the main and important part of the authentication system. Normally the response time should be fast but as the number of persons in the database increases, there is probability of more response time taken for authentication. The need of fast authentication system arises so that authentication time (matching time) is very less. This paper proposes a sliding window approach...

متن کامل

Adaboost Technique for Vehicle Detection in Aerial Surveillance

An approach for vehicle detection system from satellite images, which are used in many applications. Vehicle detection is done by pixelwise classification method instead sliding window and region based methods, which are used in existing system. The vital part of the paper is feature extraction and vehicle colour classification. Feature extraction includes edge and corner detection. For edge de...

متن کامل

A Comparative Assessment of the Performances of Different Edge Detection Operator using Harris Corner Detection Method

Edge detection is one of the most commonly used and one of the most important operations in image processing which reduces the useless information while retaining the important structural properties of an image. Here a comparative study of Sobel, Roberts, Prewitt, LoG, Canny, Zerocross algorithms are conducted and corner points using Harris Corner detection algorithm on the image are obtained a...

متن کامل

Accurate Corner Detection Methods using Two Step Approach

: Many image features are proved to be good candidates for recognition. Among them are edges, lines, corners, junctions or interest points in general. Importance of corner detection in digital images is increasing with increasing work in computer vision in imagery. One of the most promising techniques is the one based on Harris corner detection method. This work describes different approaches t...

متن کامل

A Novel Approach of Harris Corner Detection of Noisy Images using Adaptive Wavelet Thresholding Technique

In this paper we propose a method of corner detection for obtaining features which is required to track and recognize objects within a noisy image. Corner detection of noisy images is a challenging task in image processing. Natural images often get corrupted by noise during acquisition and transmission. Though Corner detection of these noisy images does not provide desired results, hence de-noi...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011