Query: ocr palate car

title: A SSD OCR Approach for Real Time Active Car Tracking on Quadrotors
abstract: This paper has the goal of presenting a deep neural network algorithm for real time object tracking called Single Shot MultiBox Detector SSD as a source of detection, in combination with an Optical Character Recognition OCR algorithm, both serving as assistance for determining the right position and speed for a quadrotor during an active car track mission. During the experiments, a Tello DJI drone equipped with a frontal camera and a distance sensor were used to receive height measurements. The whole algorithm was implemented in Python programming language as a combination of Tello SDK for software development, Hanyazou's TelloPy package for video streaming, an OCR algorithm implemented with digital image processing and an SSD system created with TensorFlow. The frontal camera was used as a real time streaming source for the SSD and OCR systems, being both coordinated by TelloPy, which made it possible to achieve both position and speed control using Tello SDK. The distance sensor under the drone helped to avoid collisions underneath and refine the positioning. Outdoor tests were executed to check the drone's behavior during the active car track mission. Besides the project is still in its initial stage, satisfactory results were collected and will be used for further analysis and improvements.

title: Iraqi car license plate recognition using OCR
abstract: License plate recognition (LPR) system is an important system in our life. LPR is an image processing and a character recognition system that used to recognize any car from the others. An automatic license plate recognition system for the three different Iraqi car license plates was proposed in this paper. Differentiating between the three styles were done depending on the plate size. An optical character recognition (OCR) is used with correlation approach and templates matching for plate recognition by segmenting each number, character and word into sub images. The software used is MATLAB R2014a. The algorithm is successfully constructed with sample of images correctly identified.

title: Iraqi car license plate recognition using OCR
abstract: License plate recognition (LPR) system is an important system in our life. LPR is an image processing and a character recognition system that used to recognize any car from the others. An automatic license plate recognition system for the three different Iraqi car license plates was proposed in this paper. Differentiating between the three styles were done depending on the plate size. An optical character recognition (OCR) is used with correlation approach and templates matching for plate recognition by segmenting each number, character and word into sub images. The software used is MATLAB R2014a. The algorithm is successfully constructed with sample of images correctly identified.

title: Performance Measure of Car Parking By Using RFID and OCR
abstract: Automatic number plate recognition plays a significant role in several applications and a number of techniques have been proposed. The proposed system consists of two modules: a number plate locating module and a number plate identification module. The previous characterized by fuzzy orders attempts to extract number plates from an input image, while the final conceptualized in terms of neural themes wants to identify the number present in a plate. These applications vary from complex security systems to commons areas and from parking entrance to city traffic control. The core idea of this work is to solve the realistic problem of car identification for real scenes. All steps of the process, from image acquisition to optical character recognition are considered to accomplish an automatic identification of number plates. OCR used to identify an optical refined written characters vehicle number plate is based on template matching. In last phase the letters on the number plate are converted into string or texts format. It can be used with all type of country rules or plates design. The algorithm is tested over different images with different size of vehicle images. In proposed system, number plates are recognizing, with the success rate of 92% and 95% respectively.

title: A Necessary Review on Optical Character Recognition (OCR) System for Vehicular Applications
abstract: The licensed number plate is used as an image processing procedure to categorize the vehicles. Optical character recognition is widely used for this character recognition. In this paper, a vehicle licensed number plate is captured as an image and stored in a database. These images will further used for the identification of a vehicle. Due to the increase in automobile related crimes, this technique is helpful for defense and traffic applications. In dissimilar references, this knowledge is referred as Automatic automobile discovery, Automatic number plate recognition, Car number plate recognition, Car Plate Reader, or Optical Character recognition. There are several approaches used to build an Automatic Number Plate System like Artificial Neural Network based, Cloud Computing based, Hybrid based, Template Matching based, and Histogram based, etc. By using these approaches, the accuracy of the number of plates using the OCR technique is checked. The main motive of automatic number plate recognition is to monitor the congestion, traffic control, Smart Parking system, safety and surveillance of the drivers.

title: Automatic Car license plate Recognition system using Multiclass SVM and OCR
abstract: over the years information technology has been used to develop applications that aim to simplify the human task, to execute various human tasks efficiently, faster and with quality. Many such applications have indeed revolutionized the way we execute many of our daily activities. Still there are many areas which need quality applications that can help in improvising the quality of services in those areas. One such application is the license plate detection system. License plate detection can be used for toll processing, at parking areas and for traffic monitoring purpose. The biggest challenge in making such applications is that such application need to process the input image of the license plate in quick time and be accurate. Many researchers have been carried out earlier to detect and recognize the characters of the license plate. Most of these methods have their own set of advantages and disadvantages. On considering the license plate detection system literature the methods can be classified as template based methods and the feature extraction methods. Feature extraction methods are more generic and hence I make use of this method in this paper. I choose support vector machines for feature extraction of the car licenses plates for a given dataset. The main challenge in using SVM is that it is a binary classifier. Thus, I propose the usage of a multiclass SVM for the feature extraction of the license plate. Integrated with the optical character recognition I propose and implement the system of car license plate detection and recognition system using SVM and OCR.

title: An Exploratory Study of Speech and Language Therapy Intervention for Children Born With Cleft Palate Lip
abstract: Children born with a cleft palate lip are at risk of developing speech and language difficulties, which may require intervention from a speech and language therapist (SLT) To date, there is no strong evidence to support one approach to intervention over another, neither is it clear which approaches or methods of provision are commonly used.  To describe the range of speech and language therapy interventions being used with children born with cleft palate in the United Kingdom up to 5 years of age. To explore the different ways, interventions are being delivered.  A prospective study to conduct 9 semi structured focus groups. Iterative content analysis was completed.  Regional Cleft Lip and Palate Centers in the United Kingdom.  Sixty two speech and language therapy professionals from specialist cleft teams and community services.  Four main codes were identified: "intervention approaches," "service delivery models," "decision making and rationale," and "patient centered care." Participants frequently discussed how they adopt an eclectic style when delivering intervention, the importance of an individualized approach for each child and service delivery constraints, such as a lack of resources.  Insight into the multitude of intervention approaches used by SLTs, aspects which influence their decision making and the variability of service delivery models were gained. Uncertainty regarding which intervention approaches and methods for delivery are most effective provides rationale for future research, to improve the effectiveness of speech and language intervention for children with cleft palate lip.

title: Automatic and Secure Electronic Gate System Using Fusion of License Plate, Car Make Recognition and Face Detection
abstract: In this paper, we propose an automatic electronic gate system with authenticity confirmation from 3 individual modules, viz. car make and model, license plate and face detection. The ultrasonic sensor detects the stopped cars and initiate the camera to capture the car image. Connected Components identification and Optical Character Recognition (OCR) algorithms are performed to recognize the characters and numbers in the car plate. The car make and model detection algorithm uses feature extraction algorithms based on Difference of Gaussians (DoG) detector and Scale Invariant Feature Transform (SIFT) descriptor. The Euclidian distance measure identifies the suitable match for a query image with the one in database to determine the car make and model. The face detection of driver is carried out to ensure the security of intended premise of the system deployment. It is based on the Viola Jones algorithm. In the final stage, matching algorithms are applied to decide whether the image of the car plate, make and model and the face does not conflict with the details stored in the database. The smart electronic gate will open and let the car enter when the authenticity is confirmed. The system is evaluated by building a prototype electronic smart gate using Logitech C920 HD pro webcam, Toy car and LEGO NXT Motor Controlled Gate. Moreover we built a preliminary database from the images captured by surveillance cameras for make and model recognition of Qatar cars. Experimental evaluation on this dataset delivered an accuracy of 75%

title: ANALISIS KINERJA BANK PADA PT BANK DANAMON INDONESIA TBK MENGGUNAKAN CAPITAL ADEQUACY RATIO (CAR) OPERATIONAL COST RATIO (OCR) DAN LOAN TO DEPOSIT RATIO (LDR) TAHUN 2005 2012
abstract: Jurusan Akuntansi, Fakultas Ekonomi, Universitas Gunadarma, 2014 Kata Kunci Tingkat Kinerja Bank, Capital Adequacy Ratio, Operational Cost Ratio, Loan to Deposit Ratio. (xi 61) Perkembangan kehidupan perbankan di Indonesia nyatanya tidak selalu dalam keadaaan stabil atau dengan kata lain dalam keadaan prima karena pada dasarnya sebagai lembaga keuangan yang berorientas ibisnis, kegiatan bank sehari hari tidak akan terlepas dari bidang keuangan. Bank merupakan lembaga keuangan yang befungsi sebagai perantara antara pihak yang kelebihan dana dan pihak yang kekurangan dana. Dasar beroperasinya bank adalahkepercayaan, oleh karena itu bank harus menunjukkan kinerja yang baik untuk memperoleh kepercayaan dari masyarakat. Masalah yang diteliti penulis adalah ingin menganalisis tingkat kinerja keuangan PT. Bank Danamon Indonesia, Tbk dengan menggunakan Capital Adequacy Ratio, Loan to Deposit Ratio, Operational Cost Ratio untuk periode laporan keuangan tahun 2005 2012. Metode ini merupakan cara untuk menilai kinerja keuangan suatu bank dengan menghitung masing masing komponen tersebut diatas (SE BI No.6/23/DPNP tanggal 31 Mei 2004) Dengan menganalisis kinerja keuangan PT. Bank Danamon Indonesia, Tbk penulis memperoleh hasil sebagai berikut Secara umum rasio CAR menunjukkan hasil sangat signifikan dari tahun 2005 2012. Lalu rasio OCR juga menunjukkan hasil dengan tingkat efisiensi dan efektif sangat baik. Begitu pula untuk rasio LDR juga dalam keadaan sangat likuid walaupun pada tahun 2007 dan 2012 berada pada posisi "cukup likuid" Semua rasio CAR, OCR dan LDR tersebut diatas telah dihitung berdasarkan kriteria yang ditentukan oleh Bank Indonesia.

title: Improving OCR of historical newspapers and journals published in Finland
abstract: This paper presents experiments on Optical character recognition (OCR) of historical newspapers and journals published in Finland. The corpus has two main languages: Finnish and Swedish and is written in both Blackletter and Antiqua fonts. Here we experiment with how much training data is enough to train high accuracy models, and try to train a joint model for both languages and all fonts. So far we have not been successful in getting one best model for all, but it is promising that with the mixed model we get the best results on the Finnish test set with 95 CAR, which clearly surpasses previous results on this data set.