License plate location is an important phase in vehicle license recognition for intelligent transport systems. This paper presents a robust and real time method of location. The proposed algorithm consists some stages. In the first stage, we extract vertical edges input image using Sobel mask. next histogram analysis used finding candidate regions plate. Candidate are also verified by defined compact factor. last locate exactly with morphological operators. Experiments have been conducted...

Coronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose. Angiography an invasive approach involving risks like death, heart attack, and stroke. An appropriate alternative for diagnosis use statistical or data mining methods. The purpose study was predict CAD by using discriminant analysis compared with logistic regression.

A statistical method embedded with features is proposed for Farsi/Arabic handwritten zip code recognition in this paper. The numeral first smoothed and the skeleton obtained. set of feature points are then detected decomposed into primitives. primitive includes information each a global derived from codes to describe topological structure skeleton. By using average variance X Y changes primitive, direction curvature can be statistically described. Since have different lengths, we applied PCA...

Standard databases play very important roles in pattern recognition tasks. To compare the performances of different algorithms, they must be tested on a same dataset. In Farsi, there is not database handwritten texts to evaluate algorithms. this paper, an unconstraint Farsi text introduced. 250 participants ages and education levels filled 1000 forms. Duo characteristics database, it can used many OCR applications. A large number writers, big lexicon size, out-of-straight textlines various...

A recognition system based on template matching for identifying handwritten Farsi/Arabic numerals has been developed in this paper. Template is a fundamental method of detecting the presence objects and them an image. In proposed method, templates have chosen so that they represent features FARSI/Arabic prescribed form writing as possible. Experimental results show performance language-based achieved more than other usual common feature extraction approaches. NM-MLP used classifier trained...

Abstract Automatic accurate skin lesion segmentation systems are very helpful for timely diagnosis and treatment of cancers. Recently, methods based on convolutional neural networks (CNN) have presented powerful performances good results in biomedical applications. In the proposed method, a novel structure Mask RCNN, CNN, geodesic method is to improve performance segmentation. Lesions detected segmented by R‐CNN first stage. A multi‐atrous full network (MAFCNN) combine outputs RCNN input...

In this paper, we proposed a new method for isolated handwritten Farsi/Arabic numerals recognition using quad tree-based fractal representation and iterated function system. Fractal codes represent affine transformations which when iteratively applied to the range-domain pairs in an arbitrary initial image, result is close given image. Each code consists of six parameters such as corresponding domain coordinates each range block, brightness offset transformation. Based on fixed point theorem...

This paper presents a new two-stage method for estimating and correcting the baseline of handwritten subwords in Farsi Arabic text lines. Based on template matching algorithm, candidate pixels are detected. The writing path estimated first second stages proposed respectively. After estimation each stage, is adjusted correction phase. Experimental results show effectiveness this approach adjusting close to correct position.

Synthesis of nanographene (NG) and thermoplastic polyurethane (TPU)/NG nanocomposites by a facile cost‐effective method was pursued in this work. For that purpose, NG synthesized via combination microwave (MW) shear mixing done simple kitchen blender. Next, TPU/NG were prepared the blender solution state. Afterward, with variable amounts NG, fabricated their mechanical rheological performances comprehensively studied. It established dispersion quality had fundamental impact on properties...

In this paper, a novel script-independent block-based text line extraction technique is proposed for multi-skewed document images. Three parameters are defined to adopt the method with various writings. Extensive experiments on different datasets demonstrate that algorithm outperforms previous methods.

Accurate segmentation of lesions from dermoscopic images is very important for timely diagnosis and treatment skin cancers. Due to the variety shapes, sizes, colors, locations in images, automatic remains a challenge. In this study, two-stage method based on deep learning presented. first stage, convolutional neural networks (CNNs) estimate approximate size location lesion. A sub-image around estimated bounding box cropped original image. The resized an image predefined size. order segment...

The study of handwritten words is tied to the development recognition methods be used in real-world applications involving words, such as texts, bank checks, and postal envelopes, among others. In this paper an approach for Farsi checks was proposed which legal amounts are aid results courtesy amounts. set some 40 specified divided into their sub- words. Some if-then rules extracted from validation validate recognized digits. These confirm, correct or reject digit. experimental reveal a rate...

A Farsi font recognition algorithm based on the fonts of some frequent text samples is proposed.Some features are extracted from connected components a image.The feature vectors clustered by using Self-Organizing Map (SOM) clustering method.The clusters with more members determine most (MFCCs).A number these big input image.This procedure applied to both training and test images.Since in different texts very similar, it can be guaranteed that large detected MFCCs for image surely set.The...

One of the most popular techniques in Ocular Artifact (OA) removal from Electroencephalogram (EEG) signals is Adaptive Filter (AF) with Recursive Least-Squares (RLS) algorithm. The low convergence rate, good tracking, miss-adjustment, and stability are expected capabilities this filter, which depend highly to value forgetting factor (0<λ<1). As, a λ very close one, filter increased due misadjustment, but its tracking reduced consequently OA will remained EEG signal even after filtering. To...

In this paper, an adaptive block-based text line extraction algorithm is proposed. Three global and two local parameters are defined to adapt the method various handwritings in different languages. A document image segmented into several overlapping blocks. The skew of each block estimated. Text de-skewed by using estimated angle. regions detected block. number data points extracted from These used estimate paths lines. By thinning background including paths, boundaries or separators...

In this paper a directional filter is proposed to describe the curvedness of textures. The inspired by basic Gabor and has an elliptic form. Thus, they are called (DEG) filters. Characters subwords in Farsi machine-printed texts constructed from both straight curved segments. Moreover, amounts various fonts different. Therefore, features based on can be useful font recognition. Better describing straightness text components increases separability among fonts. Experiments demonstrate that...

Textline segmentation is an important preprocess before trying to recognize words. Handwritten texts include complex lines such as connected/overlapped, multi skewed, and curved textlines. In the proposed approach, overcome these problems, local reliable text regions are locally extracted for each block of a handwritten text. Text image first filtered by set directional 2D filters images divided number overlapping blocks. The with highest contrast selected be used region detection....

Improving customers' satisfaction, retaining loyal customers, and acquiring new customers are the most important goals of companies.Because existing competition conditions among insurance industries, especially in optional insurances such as vehicle body insurance, implementing policies which have benefits for both companies can increase corporation profitability satisfaction.In this paper, general Iran investigated.In way, a non-linear function (Cj) is proposed to separate profitable...