Informatics Publishing Limited

Loveleen Kaur ¹, Simpel Jindal ²

Affiliations
1 Guru Teg Bahadur Institute of Engineering and Technology, Chhapianwali, Malout, Muktsar, Punjab, IN
2 Yadvindra College of Engineering, Talwandi Sabo, Bathinda, Punjab, IN

Abstract

This paper includes the information about the techniques used to detect Skew which are introduced during the scanning of the documents. It also discusses about the tool which have been used to implement the technique. The comparison of the techniques is done on the basis of the angle measured and by applying the algorithm on the Gurmukhi Script. The methods provides a very efficient way to calculate the Skew. Correction in the skewed scanned document image is very important, because it has a direct effect on the reliability and efficiency of the segmentation and feature extraction stages. The method deals with an accurate measure of skew, within-line, and between-line spacings and locates text lines and text blocks. The detection and correction of the images are done.

Keywords

Document Processing, Gurmukhi Script, Skew Angle, Skew Correction, Skew Detection.

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Rajneesh Singla ¹, Simpel Jindal ¹

Affiliations
1 Computer Engineering Section, Yadavindra College of Engineering, Punjabi University, Guru Kashi Campus, Talwandi Sabo, IN

Abstract

The expression recognition system is closely related to face recognition where a lot of research has been done and a vast array of algorithms has been introduced. The mood detection system can also be considered as a special case of a pattern recognition problem and many techniques are available. In the designing of a Mood Detection System, we can take advantage of these resources and use existing algorithms as buildin g blocks of our system. In this research work comparative study of mood detection techniques namely Principal Component analysis (PCA), PCA with Fisher face is done. The major part of this paper will explore and compare that the combination of PCA and Fisher face is more optimized than former technique. The experiments have been performed on real time database to figure out the performance of desired algorithm in terms of recognition rate and computational time. There are five different moods which are to be recognized are: Happy, Disgust, Angry, Sad and Surprise.

Keywords

Mood Detection System, Recognition Rate, Fisher Face, Principal Component Analysis (PCA) etc.

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Tejinderpal Singh ¹, Simpel Jindal ¹

Affiliations
1 Department of Computer Engineering, Yadavindra College of Engineering, Talwandi Sabo, Punjab, IN

Abstract

Steganography is a method of hiding information in other information. In this paper, we proposed a new image steganography scheme which is a kind of spatial domain technique. The mixed channel replacement technique is used to hide secret data in cover image. Techniques used so far focuses only on the two or four bits of a pixel in a image (at the most five bits at the edge of an image) which results in less peak to signal noise ratio and high ischolar_main mean square error. In this technique, each character of secret message is divided into three blocks. Each block is embedded in different components (R, G and B) of pixels. This scheme can embed more data than previous schemes and shows better image quality. Various experiments are performed to test this scheme and it is found that there are no visual distortions in the image.

Keywords

Image, Spatial Domain, Mean Square Error, Peak Signal to Noise Ratio, Stegano-Graphy.

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Amit Taneja ¹, Simpel Jindal ¹

Affiliations
1 Computer Engineering Section, Yadavindra College of Engineering, Punjabi University, Guru Kashi Campus, Talwandi Sabo, IN

Abstract

Hand geometry is considered to achieve medium security with lesser cost along with several other advantages as compared to other available techniques. The physical dimensions of a human hand known as hand or palm geometry, contains information that is capable of authenticating the identity of an individual. The hand geometry based identity verification system is being widely used in various applications like access control, time and attendance, point-of-scale, anti-pass back and interactive kiosks etc. The goal of a biometric verification system consists in deciding whether two characteristics belong to the same person or not. The present work presents a biometric user recognition system based on hand geometry. It explores the features of a human hand, extracted from a color photograph which is taken when the user is asked to place his/her hand on a platform especially designed for this task.

Different pattern reorganization techniques have been used for classification and verification. It consists of a database where all the information about the authenticated users is stored. The system extracts the features from a test image and compares it with the stored information on the database. The experimental results show that the proposed system has an encouraging performance. The false acceptance rate are reduced down to 0.02, respectively. Experimental result, up to 95 percent rate of success in classification, will show the possibility of using the system in medium/high security environment with less cost.

Keywords

Biometric Verification, Hand Geometry, Hand Contour, Landmarks, Palmprint Recognition, Neural Networks, Support Vector Machine.

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