Research Cell: An International Journal of Engineering Sciences

Nirvair Neeru ¹, Lakhwinder Kaur ¹

Affiliations
1 DCE, Punjabi University, Patiala, IN

Abstract

In digital image processing the face images play important role in many applications like identification or verification of a person, emotion detection and classification and in many of security related applications. This paper includes the survey of well known noise removal filters to remove gaussian noise in spatial domain. The experiments are performed on the face images taken from Female Facial Expression (JAFFE) database. The performance of all filters has been evaluated at various noise densities in terms of SNR, EPI, SSIM and MS-SSIM.

Keywords

Denoising, Gaussian Noise, Filters.

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Nirpjit Kaur ¹, Nirvair Neeru ¹

Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala, Punjab, IN

Abstract

Modern security systems used in various sectors are emerged to use a person's biological characteristics such as fingerprint, eye, hand, palm etc which is referred to as biometrics. Automated biometric systems are most robust so act as a better option to the traditional systems. It widely used as a method for identification and verification based on physical or behavioural characteristics. Among various biometric characteristics, Hand geometry is one of the most well-known biometrics. Because of its ease of collectability, low resolution imaging, Public acceptance, low cost and low template size so have gained popularity in low to medium security systems. A survey has been presented in this paper describing various hand shape-based biometric system Technologies. Component modules used in commercial systems along with recent successful deployments will be reviewed. Finally, analyze the practical issues concerning performance and limitations and put light towards future research related to hand shape biometric systems.

Keywords

Biometric, False Acceptance Rate, False Rejection Rate, Hand Geometry, Identification.

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Simerjeet Kaur ¹, Nirvair Neeru ¹

Affiliations
1 (CE) Department, UCOE, Punjabi University, Patiala, Punjab, IN

Abstract

Bone Age Assessment is an important medical practice in pediatrics radiology to assess any skeletal defect or immaturity based on chronological age. The bone age assessment is performed mostly using a bone atlas which contains the images of carpal bone (left wrist). A trained pediatrician matches the radiograph of carpal bone in atlas with that of the radiograph of carpal bone of subject. Based on his/her analysis then, is he/she predicts the bone age. Automation of such trivial task seems necessary and thus many different techniques for automatic bone age assessment exist today. In this paper, a review of these techniques is presented.

Keywords

Bone Age, Carpal Bone, Region of Interest (ROIs).

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Himanshu Rana ¹, Nirvair Neeru ¹

Affiliations
1 Department of Computer Engineering, Punjabi University, Patiala (Punjab), IN

Abstract

Edge in digital image processing is a change in the sharpness present in the digital image. These changes can be the border between a gray color image i.e. either white or black image. The main property of any of the edge detector is to extract the key information hidden in the image that we can't get using simple methods. Edge detection is basically based on the range non-continuity. Various operators are present for the purpose of the edge detection but here we discuss about the one of the prominent edge detector i.e. Sobel Edge Detector. This paper is created to guide the initial researches in the area of the edge detection and researchers can use its information for the purpose of the basic knowledge about the Sobel Edge Detector. Edge detection is used in various fields very prominently like Brain Tumor, MRI etc. The efficiency and the accountability of this operator have been discussed in this paper. All of the experimental results and simulations shown in this paper have been done on MATLAB R2012b. Various images have been taken for the experiment purposes and results of the operations have been discussed.

Keywords

Digital Image Processing, Edge Detection, Noise, Sobel Edge Detector.

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