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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Special Issue on Image Processing and Analysis

Open Access | | 16 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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1

Sketch Recognition using Domain Classification

Author 1: Vasudha Vashisht Author 2: Tanupriya Choudhury Author 3: Dr. T. V. Prasad

Conceptualizing away the sketch processing details in a user interface will enable general users and domain experts to create more complex sketches. There are many domains for which sketch recognition systems are being developed. But, they entail image-processing skill if they are to handle the details of each domain, and… Read full abstract & cite →

Sketch recognition segmentation domain classification.
Abstract doi.org/10.14569/SpecialIssue.2011.010101 PDF
2

A new Optimization-Based Image Segmentation method By Particle Swarm Optimization

Author 1: Fahd M.A Mohsen Author 2: Mohiy M. Hadhoud Author 3: Khalid Amin

This paper proposes a new multilevel thresholding method segmenting images based on particle swarm optimization (PSO). In the proposed method, the thresholding problem is treated as an optimization problem, and solved by using the principle of PSO. The algorithm of PSO is used to find the best values of thresholds… Read full abstract & cite →

Thresholding-based segmentation Particle swarm optimization Quantitative image segmentation evaluation.
Abstract doi.org/10.14569/SpecialIssue.2011.010102 PDF
3

Image segmentation by adaptive distance based on EM algorithm

Author 1: Mohamed Ali Mahjoub Author 2: Karim Kalti

This paper introduces a Bayesian image segmentation algorithm based on finite mixtures. An EM algorithm is developed to estimate parameters of the Gaussian mixtures. The finite mixture is a flexible and powerful probabilistic modeling tool. It can be used to provide a model-based clustering in the field of pattern recognition… Read full abstract & cite →

EM algorithm image segmentation adaptive distance.
Abstract doi.org/10.14569/SpecialIssue.2011.010103 PDF
4

Modeling of neural image compression using GA and BP: a comparative approach

Author 1: G G Rajput Author 2: Vrinda Shivashetty Author 3: Manoj Kumar singh

It is well known that the classic image compression techniques such as JPEG and MPEG have serious limitations at high compression rate; the decompressed image gets really fuzzy or indistinguishable. To overcome problems associated with conventional methods, artificial neural networks based method can be used. Genetic algorithm is a very… Read full abstract & cite →

Image compression genetic algorithm neural network back propagation.
Abstract doi.org/10.14569/SpecialIssue.2011.010104 PDF
5

Clustering and Bayesian network for image of faces classification

Author 1: Khlifia Jayech Author 2: Mohamed Ali Mahjoub

In a content based image classification system, target images are sorted by feature similarities with respect to the query (CBIR). In this paper, we propose to use new approach combining distance tangent, k-means algorithm and Bayesian network for image classification. First, we use the technique of tangent distance to calculate… Read full abstract & cite →

face recognition clustering Bayesian network aïve Bayes TA FA .
Abstract doi.org/10.14569/SpecialIssue.2011.010105 PDF
6

Skew correction for Chinese character using Hough transform

Author 1: Tian Jipeng, Author 2: G.Hemantha Kumar Author 3: H.K. Chethan

Chinese Handwritten character recognition is an emerging field in Computer Vision and Pattern Recognition. Documents acquired through Scanner, Mobile or Camera devices are often prone to Skew and Correction of skew for such document is a major task and important factor in optical character recognition. The goal of the work… Read full abstract & cite →

Handwritten Chinese character Computer Vision Pattern Recognition skew detection Hough transforms.
Abstract doi.org/10.14569/SpecialIssue.2011.010106 PDF
7

Recombinant Skeleton Using Junction Points in Skeleton Based Images

Author 1: Komala Lakshmi Author 2: Dr.M.Punithavalli

We perform the task of combining two skeleton images and to produce the recombinant skeleton. We propose the recombinant skeleton algorithm to produce the recombinant skeletons. The existing skeleton representation has been taken and the merge vertex detection algorithm was used before applying the recombinant skeleton algorithm. We can design… Read full abstract & cite →

Recombinant skeleton bamboo skeleton valance skeleton point (VSP) core skeleton point(CSP) junction skeleton points (JSP).
Abstract doi.org/10.14569/SpecialIssue.2011.010107 PDF
8

ID Numbers Recognition by Local Similarity Voting

Author 1: Shen Lu Author 2: Yanyun Qu Author 3: Yanyun Cheng Author 4: Yi Xie

This paper aims to recognize ID numbers from three types of valid identification documents in China: the first-generation ID card, the second-generation ID card and the driver license of motor vehicle. We have proposed an approach using local similarity voting to automatically recognize ID numbers. Firstly, we extract the candidate… Read full abstract & cite →

template matching algorithm ID number recognition OCR
Abstract doi.org/10.14569/SpecialIssue.2011.010108 PDF
9

Component Localization in Face Alignment

Author 1: Yanyun Qu Author 2: Tianzhu Fang Author 3: Yanyun Cheng Author 4: Han Liu

Face alignment is a significant problem in the processing of face image, and Active Shape Model (ASM) is a popular technology for this problem. However, the initiation of the alignment strongly affects the performance of ASM. If the initiation of alignment is bad, the iteration of ASM optimization will be… Read full abstract & cite →

face alignment ASM component localization LBP SURF
Abstract doi.org/10.14569/SpecialIssue.2011.010109 PDF
10

Fine Facet Digital Watermark (FFDW) Mining From The Color Image Using Neural Networks

Author 1: N Chenthalir Indra Author 2: Dr. E . Ramaraj

On hand watermark methods employ selective Neural Network techniques for watermark embedding efficiently. Similarity Based Superior Self Organizing Maps (SBS_SOM) a neural network algorithm for watermark generation. Host image is learned by the SBS_SOM neurons and the very fine RGB feature values are mined as digital watermark. Discrete Wavelet Transform… Read full abstract & cite →

Similarity based Superior SOM Discrete Wavelet Transform Digital watermark embedding PSNR.
Abstract doi.org/10.14569/SpecialIssue.2011.010110 PDF
11

Automatic Image Registration Using Mexican Hat Wavelet, Invariant Moment, and Radon Transform

Author 1: Jignesh N Sarvaiya Author 2: Dr. Suprava Patnaik

Image registration is an important and fundamental task in image processing used to match two different images. Given two or more different images to be registered, image registration estimates the parameters of the geometrical transformation model that maps the sensed images back to its reference image. A feature-based approach to… Read full abstract & cite →

Image Registration Mexican-hat wavelet Invariant Moments Radon Transform.
Abstract doi.org/10.14569/SpecialIssue.2011.010111 PDF
12

Human Face Detection under Complex Lighting Conditions

Author 1: Golam Moazzam Author 2: Ms. Rubayat Parveen Author 3: Md. Al-Amin Bhuiyan

This paper presents a novel method for detecting human faces in an image with complex backgrounds. The approach is based on visual information of the face from the template image and is commenced with the estimation of the face area in the given image. As the genetic algorithm is a… Read full abstract & cite →

Face Detection Genetic Searching Fitness Function Cross-over Mutation Roulette Wheel Selection.
Abstract doi.org/10.14569/SpecialIssue.2011.010112 PDF
13

Ear Recognition using Dual Tree Complex Wavelet Transform

Author 1: Rajesh M Bodade Author 2: Sanjay N Talbar

Since last 10 years, various methods have been used for ear recognition. This paper describes the automatic localization of an ear and it’s segmentation from the side poses of face images. In this paper, authors have proposed a novel approach of feature extraction of iris image using 2D Dual Tree… Read full abstract & cite →

Ear recognition ear detection ear biometrics DT-CWT complex wavelet transform Biometrics Pattern Recognition Security Image Processing Bioinformatics Computer vision.
Abstract doi.org/10.14569/SpecialIssue.2011.010113 PDF
14

SUCCESeR: Simple and Useful Multi Color Concepts for Effective Search and Retrieval

Author 1: Satishkumar L Varma Author 2: Sanjay N. Talbar

The image quality depends on level of intensities used in images. Image is consists of various types of objects. Objects in the images are distinguishable because of various intensity levels used. The concentration of intensity levels so called energy can be extracted from image using discrete cosine transform (DCT). In… Read full abstract & cite →

color model discrete cosine transform image indexing image retrieval.
Abstract doi.org/10.14569/SpecialIssue.2011.010114 PDF
15

Automatic License Plate Localization Using Intrinsic Rules Saliency

Author 1: Chirag N Paunwala Author 2: Dr. Suprava Patnaik

This paper addresses an intrinsic rule-based license plate localization (LPL) algorithm. It first selects candidate regions, and then filters negative regions with statistical constraints. Key contribution is assigning image inferred weights to the rules leading to adaptability in selecting saliency feature, which then overrules other features and the collective measure… Read full abstract & cite →

License plate localization Salient rules Connected Region Analysis statistical inconsistency skew correction.
Abstract doi.org/10.14569/SpecialIssue.2011.010115 PDF
16

Performance Comparison of SVM and K-NN for Oriya Character Recognition

Author 1: Sanghamitra Mohanty Author 2: Himadri Nandini Das Bebartta

Image classification is one of the most important branch of Artificial intelligence; its application seems to be in a promising direction in the development of character recognition in Optical Character Recognition (OCR). Character recognition (CR) has been extensively studied in the last half century and progressed to the level, sufficient… Read full abstract & cite →

Recognition Features earest eighbors Support Vectors.
Abstract doi.org/10.14569/SpecialIssue.2011.010116 PDF