<![CDATA[Identity card data entry is commonly performed manually and may result in human errors during the registration process. Optical Character Recognition (OCR) technology can be utilized to automate the extraction of textual information from identity card images. This study aims to develop the E-Registcam system by applying Imagick-based image preprocessing for OCR-based Indonesian identity card (KTP) recognition. The preprocessing stages consist of grayscale conversion, resizing, contrast enhancement, noise removal, sharpening, and cropping. OCR processing is performed using Tesseract OCR to extract the name field from KTP images. The study utilized 30 KTP image samples and evaluated recognition performance using the Character Accuracy Rate (CAR) method. Experimental results showed that OCR with preprocessing successfully recognized 23 images and failed on 7 images, achieving an average CAR value of 74.13%. Meanwhile, OCR without preprocessing successfully recognized 26 images and failed on 4 images, with an average CAR value of 81.05%. The results indicate that the proposed system is capable of extracting textual information from KTP images; however, the applied preprocessing stages did not consistently improve OCR recognition accuracy. Factors such as lighting conditions, image quality, and background complexity affected the recognition performance.]]>
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