{"id":4387,"date":"2021-01-24T11:41:05","date_gmt":"2021-01-24T16:41:05","guid":{"rendered":"https:\/\/www.simpleocr.com\/?post_type=epkb_post_type_1&#038;p=4387"},"modified":"2021-09-17T10:35:42","modified_gmt":"2021-09-17T14:35:42","slug":"creating-forms-optimized-for-handprint-recognition","status":"publish","type":"epkb_post_type_1","link":"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/","title":{"rendered":"Creating forms optimized for handprint recognition"},"content":{"rendered":"\r\n<p>Handprint recognition applications can provide dramatically different results in terms of accuracy depending on whether the form is designed with intelligent character recognition (ICR) in mind.<\/p>\r\n\r\n\r\n\r\n<p><a href=\"https:\/\/www.simpleocr.com\/forms-processing\/\">Forms Processing<\/a> applications like <a href=\"https:\/\/www.simpleocr.com\/product\/abbyy-flexicapture-cloud-base-fcc-ppy-20k-pages-2-stations\/\">ABBYY FlexiCapture<\/a> have a built-in form design tool with ICR-optimized field layout elements and rules that validate whether your form uses best practices for recognition. These forms can be automatically converted to recognition templates for scanning for data capture. This saves you dozens of hours of trial and error during the design process and even more in data entry once the filled in forms are collected.<\/p>\r\n\r\n\r\n\r\n<p>Best practice recommendations for ICR and OCR forms include:<\/p>\r\n\r\n\r\n\r\n<ul>\r\n<li>Plenty of space between form elements and labels, at least 0.5cm \/ 0.25in<\/li>\r\n<li>Use <a href=\"https:\/\/www.simpleocr.com\/knowledge-base\/what-are-the-best-scanner-settings-for-ocr\/\">drop out colors<\/a> for form backgrounds when possible<\/li>\r\n<li>Hand printed characters should be constrained with boxes or combs to force filler to write legible, separated, printed characters<\/li>\r\n<li>Use check boxes instead of handprint when possible since these are nearly 100% accurate<\/li>\r\n<li>Use numeric codes instead of alphanumeric text when possible to reduce the number of possible characters and increase accuracy<\/li>\r\n<li>Use validation rules to check against possible values and flag data with incorrect values<\/li>\r\n<li>Check box fields can be used to verify the presence of signatures<\/li>\r\n<\/ul>\r\n","protected":false},"excerpt":{"rendered":"<p>Handprint recognition applications can provide dramatically different results in terms of accuracy depending on whether the form is designed with intelligent character recognition (ICR) in mind. Forms Processing applications like ABBYY FlexiCapture have a built-in form design tool with ICR-optimized field layout elements and rules that validate whether your form uses best practices for recognition. These forms can be automatically converted to recognition templates for scanning for data capture. This saves you dozens of hours of trial and error during the design process and even more in data entry once the filled in forms are collected. Best practice recommendations for ICR and OCR forms include: Plenty of space between form elements and labels, at least 0.5cm \/ 0.25in Use drop out colors for form backgrounds when possible Hand printed characters should be constrained with boxes or combs to force filler to write legible, separated, printed characters Use check boxes instead of handprint when possible since these are nearly 100% accurate Use numeric codes instead of alphanumeric text when possible to reduce the number of possible characters and increase accuracy Use validation rules to check against possible values and flag data with incorrect values Check box fields can be used to verify the presence of signatures<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"epkb_post_type_1_category":[140],"epkb_post_type_1_tag":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Creating forms optimized for handprint recognition - SimpleOCR<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Creating forms optimized for handprint recognition - SimpleOCR\" \/>\n<meta property=\"og:description\" content=\"Handprint recognition applications can provide dramatically different results in terms of accuracy depending on whether the form is designed with intelligent character recognition (ICR) in mind. Forms Processing applications like ABBYY FlexiCapture have a built-in form design tool with ICR-optimized field layout elements and rules that validate whether your form uses best practices for recognition. These forms can be automatically converted to recognition templates for scanning for data capture. This saves you dozens of hours of trial and error during the design process and even more in data entry once the filled in forms are collected. Best practice recommendations for ICR and OCR forms include: Plenty of space between form elements and labels, at least 0.5cm \/ 0.25in Use drop out colors for form backgrounds when possible Hand printed characters should be constrained with boxes or combs to force filler to write legible, separated, printed characters Use check boxes instead of handprint when possible since these are nearly 100% accurate Use numeric codes instead of alphanumeric text when possible to reduce the number of possible characters and increase accuracy Use validation rules to check against possible values and flag data with incorrect values Check box fields can be used to verify the presence of signatures\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/\" \/>\n<meta property=\"og:site_name\" content=\"SimpleOCR\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/scanstoreusa\/\" \/>\n<meta property=\"article:modified_time\" content=\"2021-09-17T14:35:42+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@ScanStore\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/\",\"url\":\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/\",\"name\":\"Creating forms optimized for handprint recognition - SimpleOCR\",\"isPartOf\":{\"@id\":\"https:\/\/www.simpleocr.com\/#website\"},\"datePublished\":\"2021-01-24T16:41:05+00:00\",\"dateModified\":\"2021-09-17T14:35:42+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.simpleocr.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Creating forms optimized for handprint recognition\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.simpleocr.com\/#website\",\"url\":\"https:\/\/www.simpleocr.com\/\",\"name\":\"SimpleOCR\",\"description\":\"We make OCR simple, from freeware apps to enterprise servers and SDKs.\",\"publisher\":{\"@id\":\"https:\/\/www.simpleocr.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.simpleocr.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.simpleocr.com\/#organization\",\"name\":\"Simple Software\",\"url\":\"https:\/\/www.simpleocr.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.simpleocr.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/i2.wp.com\/www.simpleocr.com\/wp-content\/uploads\/2019\/04\/simplesoftwarelogo-e1556141280575.png?fit=150%2C28&ssl=1\",\"contentUrl\":\"https:\/\/i2.wp.com\/www.simpleocr.com\/wp-content\/uploads\/2019\/04\/simplesoftwarelogo-e1556141280575.png?fit=150%2C28&ssl=1\",\"width\":150,\"height\":28,\"caption\":\"Simple Software\"},\"image\":{\"@id\":\"https:\/\/www.simpleocr.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/scanstoreusa\/\",\"https:\/\/x.com\/ScanStore\",\"https:\/\/www.linkedin.com\/company\/meta-enterprises-llc\",\"https:\/\/www.youtube.com\/user\/SimpleSoftware\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Creating forms optimized for handprint recognition - SimpleOCR","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.simpleocr.com\/knowledge-base\/creating-forms-optimized-for-handprint-recognition\/","og_locale":"en_US","og_type":"article","og_title":"Creating forms optimized for handprint recognition - SimpleOCR","og_description":"Handprint recognition applications can provide dramatically different results in terms of accuracy depending on whether the form is designed with intelligent character recognition (ICR) in mind. 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