Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor

نویسندگان

چکیده

This paper presents a simple approach to the handwritten Balinese script characters recognition in palm-leaf lontar manuscripts. The Lontar manuscript is one of cultural heritages found Bali. manuscripts are written using pengrupak, which kind knife for writing on palm leaves. To give color results writing, candlenut used so that appears clear. In this paper, we apply projection profile at segmentation stage get manuscript. leaf use Wariga Palalubangan leaf. process carried out by implementing K-Nearest Neighbor process. was made Wianjana obtained from 720 images consisting 18 classes as dataset training. test showed level accuracy 52% scripts derived and 92% paper.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Drought Monitoring and Prediction using K-Nearest Neighbor Algorithm

Drought is a climate phenomenon which might occur in any climate condition and all regions on the earth. Effective drought management depends on the application of appropriate drought indices. Drought indices are variables which are used to detect and characterize drought conditions. In this study, it was tried to predict drought occurrence, based on the standard precipitation index (SPI), usin...

متن کامل

Presentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

متن کامل

Presentation of K Nearest Neighbor Gaussian Interpolation and comparing it with Fuzzy Interpolation in Speech Recognition

Hidden Markov Model is a popular statisical method that is used in continious and discrete speech recognition. The probability density function of observation vectors in each state is estimated with discrete density or continious density modeling. The performance (in correct word recognition rate) of continious density is higher than discrete density HMM, but its computation complexity is very ...

متن کامل

SHAPE RECOGNITION METHOD BASED ON THE k-NEAREST NEIGHBOR RULE

In artificial intelligence, each shape is represented by the vector of the characteristic features and represents a point in the d-dimensional space of the descriptors. An unknown shape is rejected or is identified with one or more models (known shapes previously learned). The shape recognition is based on the similarity between the unknown shape and each model. The distance between the associa...

متن کامل

Handwritten Script recognition using Soft Computing

Today, handwritten script recognition is challenging part in the computer science. It is important to know a script used in writing. Script recognitions have many important applications like automatic transcription of multilingual documents, searching document image, script sorting. Proposed work emphasis on the “block level technique” where script recognition recognizes the script of the given...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi)

سال: 2022

ISSN: ['2252-3006', '2685-2411']

DOI: https://doi.org/10.24843/jim.2022.v10.i03.p02